Data Center Infrastructure Management Software

  data center infrastructure management software: Data Center Handbook Hwaiyu Geng, 2014-12-22 Provides the fundamentals, technologies, and best practices in designing, constructing and managing mission critical, energy efficient data centers Organizations in need of high-speed connectivity and nonstop systems operations depend upon data centers for a range of deployment solutions. A data center is a facility used to house computer systems and associated components, such as telecommunications and storage systems. It generally includes multiple power sources, redundant data communications connections, environmental controls (e.g., air conditioning, fire suppression) and security devices. With contributions from an international list of experts, The Data Center Handbook instructs readers to: Prepare strategic plan that includes location plan, site selection, roadmap and capacity planning Design and build green data centers, with mission critical and energy-efficient infrastructure Apply best practices to reduce energy consumption and carbon emissions Apply IT technologies such as cloud and virtualization Manage data centers in order to sustain operations with minimum costs Prepare and practice disaster reovery and business continuity plan The book imparts essential knowledge needed to implement data center design and construction, apply IT technologies, and continually improve data center operations.
  data center infrastructure management software: Data Infrastructure Management Greg Schulz, 2019-01-30 This book looks at various application and data demand drivers, along with data infrastructure options from legacy on premise, public cloud, hybrid, software-defined data center (SDDC), software data infrastructure (SDI), container as well as serverless along with infrastructure as a Service (IaaS), IT as a Service (ITaaS) along with related technology, trends, tools, techniques and strategies. Filled with example scenarios, tips and strategy considerations, the book covers frequently asked questions and answers to aid strategy as well as decision-making.
  data center infrastructure management software: Advancing DCIM with IT Equipment Integration ASHRAE (Firm), 2019 Describes methods and best practices for integrating DCIM into a data center--
  data center infrastructure management software: Data Center Handbook Hwaiyu Geng, 2021-05-04 DATA CENTER HANDBOOK Written by 59 experts and reviewed by a seasoned technical advisory board, the Data Center Handbook is a thoroughly revised, one-stop resource that clearly explains the fundamentals, advanced technologies, and best practices used in planning, designing, building and operating a mission-critical, energy-efficient, sustainable data center. This handbook, in its second edition, covers anatomy, ecosystem and taxonomy of data centers that enable the Internet of Things and artificial intelligent ecosystems and encompass the following: SECTION 1: DATA CENTER OVERVIEW AND STRATEGIC PLANNING Megatrends, the IoT, artificial intelligence, 5G network, cloud and edge computing Strategic planning forces, location plan, and capacity planning Green design & construction guidelines and best practices Energy demand, conservation, and sustainability strategies Data center financial analysis & risk management SECTION 2: DATA CENTER TECHNOLOGIES Software-defined environment Computing, storage, network resource management Wireless sensor networks in data centers ASHRAE data center guidelines Data center telecommunication cabling, BICSI and TIA 942 Rack-level and server-level cooling Corrosion and contamination control Energy saving technologies and server design Microgrid and data centers SECTION 3: DATA CENTER DESIGN & CONSTRUCTION Data center site selection Architecture design: rack floor plan and facility layout Mechanical design and cooling technologies Electrical design and UPS Fire protection Structural design Reliability engineering Computational fluid dynamics Project management SECTION 4: DATA CENTER OPERATIONS TECHNOLOGIES Benchmarking metrics and assessment Data center infrastructure management Data center air management Disaster recovery and business continuity management The Data Center Handbook: Plan, Design, Build, and Operations of a Smart Data Center belongs on the bookshelves of any professionals who work in, with, or around a data center.
  data center infrastructure management software: Software-Defined Data Infrastructure Essentials Greg Schulz, 2017-06-14 Software-Defined Data Infrastructures Essentials provides fundamental coverage of physical, cloud, converged, and virtual server storage I/O networking technologies, trends, tools, techniques, and tradecraft skills. From webscale, software-defined, containers, database, key-value store, cloud, and enterprise to small or medium-size business, the book is filled with techniques, and tips to help develop or refine your server storage I/O hardware, software, and services skills. Whether you are new to data infrastructures or a seasoned pro, you will find this comprehensive reference indispensable for gaining as well as expanding experience with technologies, tools, techniques, and trends. We had a front row seat watching Greg present live in our education workshop seminar sessions for ITC professionals in the Netherlands material that is in this book. We recommend this amazing book to expand your converged and data infrastructure knowledge from beginners to industry veterans. —Gert and Frank Brouwer, Brouwer Storage Consultancy Software-Defined Data Infrastructures Essentials provides the foundational building blocks to improve your craft in serval areas including applications, clouds, legacy, and more. IT professionals, as well as sales professionals and support personnel, stand to gain a great deal by reading this book.—Mark McSherry, Oracle Regional Sales Manager Looking to expand your data infrastructure IQ? From CIOS to operations, sales to engineering, this book is a comprehensive reference, a must read for IT infrastructure professionals, beginners to seasoned experts.—Tom Becchetti, Advisory Systems Engineer Greg Schulz has provided a complete ‘toolkit’ for storage management along with the background and framework for the storage or data infrastructure professional or those aspiring to become one.—Greg Brunton, Experienced Storage and Data Management Professional
  data center infrastructure management software: Energy Efficient Servers Corey Gough, Ian Steiner, Winston Saunders, 2015-04-07 Energy Efficient Servers: Blueprints for Data Center Optimization introduces engineers and IT professionals to the power management technologies and techniques used in energy efficient servers. The book includes a deep examination of different features used in processors, memory, interconnects, I/O devices, and other platform components. It outlines the power and performance impact of these features and the role firmware and software play in initialization and control. Using examples from cloud, HPC, and enterprise environments, the book demonstrates how various power management technologies are utilized across a range of server utilization. It teaches the reader how to monitor, analyze, and optimize their environment to best suit their needs. It shares optimization techniques used by data center administrators and system optimization experts at the world’s most advanced data centers.
  data center infrastructure management software: Cloud Data Centers and Cost Modeling Caesar Wu, Rajkumar Buyya, 2015-02-27 Cloud Data Centers and Cost Modeling establishes a framework for strategic decision-makers to facilitate the development of cloud data centers. Just as building a house requires a clear understanding of the blueprints, architecture, and costs of the project; building a cloud-based data center requires similar knowledge. The authors take a theoretical and practical approach, starting with the key questions to help uncover needs and clarify project scope. They then demonstrate probability tools to test and support decisions, and provide processes that resolve key issues. After laying a foundation of cloud concepts and definitions, the book addresses data center creation, infrastructure development, cost modeling, and simulations in decision-making, each part building on the previous. In this way the authors bridge technology, management, and infrastructure as a service, in one complete guide to data centers that facilitates educated decision making. - Explains how to balance cloud computing functionality with data center efficiency - Covers key requirements for power management, cooling, server planning, virtualization, and storage management - Describes advanced methods for modeling cloud computing cost including Real Option Theory and Monte Carlo Simulations - Blends theoretical and practical discussions with insights for developers, consultants, and analysts considering data center development
  data center infrastructure management software: Deploying and Managing a Cloud Infrastructure Abdul Salam, Zafar Gilani, Salman Ul Haq, 2015-01-12 Learn in-demand cloud computing skills from industry experts Deploying and Managing a Cloud Infrastructure is an excellent resource for IT professionals seeking to tap into the demand for cloud administrators. This book helps prepare candidates for the CompTIA Cloud+ Certification (CV0-001) cloud computing certification exam. Designed for IT professionals with 2-3 years of networking experience, this certification provides validation of your cloud infrastructure knowledge. With over 30 years of combined experience in cloud computing, the author team provides the latest expert perspectives on enterprise-level mobile computing, and covers the most essential topics for building and maintaining cloud-based systems, including: Understanding basic cloud-related computing concepts, terminology, and characteristics Identifying cloud delivery solutions and deploying new infrastructure Managing cloud technologies, services, and networks Monitoring hardware and software performance Featuring real-world examples and interactive exercises, Deploying and Managing Cloud Infrastructure delivers practical knowledge you can apply immediately. And, in addition, you also get access to a full set of electronic study tools including: Interactive Test Environment Electronic Flashcards Glossary of Key Terms Now is the time to learn the cloud computing skills you need to take that next step in your IT career.
  data center infrastructure management software: Handbook of Industry 4.0 and SMART Systems Diego Galar Pascual, Pasquale Daponte, Uday Kumar, 2019-09-17 Industry 4.0 refers to fourth generation of industrial activity characterized by smart systems and internet-based solutions. This book describes the fourth revolution based on instrumented, interconnected and intelligent assets. The different book chapters provide a perspective on technologies and methodologies developed and deployed leading to this concept. With an aim to increase performance, productivity and flexibility, major application area of maintenance through smart system has been discussed in detail. Applicability of 4.0 in transportation, energy and infrastructure is explored, with effects on technology, organisation and operations from a systems perspective.
  data center infrastructure management software: Frontiers in Massive Data Analysis National Research Council, Division on Engineering and Physical Sciences, Board on Mathematical Sciences and Their Applications, Committee on Applied and Theoretical Statistics, Committee on the Analysis of Massive Data, 2013-09-03 Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.
  data center infrastructure management software: The Modern Data Center: A Comprehensive Guide Charles Nehme, Purpose of the Book In today's digital age, data centers are the backbone of virtually every industry, from finance and healthcare to entertainment and retail. This book, The Modern Data Center: A Comprehensive Guide, aims to provide a thorough understanding of the complexities and innovations that define contemporary data centers. Whether you are an IT professional, a data center manager, or a technology enthusiast, this guide is designed to equip you with the knowledge necessary to navigate and excel in the ever-evolving landscape of data centers. The Evolution and Significance of Modern Data Centers Data centers have come a long way since the early days of computing. What began as simple server rooms has evolved into sophisticated, multi-layered environments that support a wide range of applications and services critical to modern business operations. The significance of data centers cannot be overstated—they are integral to the functioning of the internet, cloud services, and the digital infrastructure that supports our daily lives. Target Audience This book is tailored for a diverse audience: IT Professionals: Gain in-depth knowledge of the latest technologies and best practices in data center design, management, and operations. Data Center Managers: Discover strategies for optimizing performance, enhancing security, and ensuring compliance. Technology Enthusiasts: Understand the foundational concepts and future trends shaping the data center industry. Structure of the Book The Modern Data Center: A Comprehensive Guide is divided into five parts, each focusing on a different aspect of data centers: Foundations of Data Centers: Covers the historical evolution, core components, and architectural frameworks. Design and Planning: Discusses site selection, design principles, and capacity planning. Technologies and Trends: Explores virtualization, cloud computing, automation, and networking innovations. Operations and Management: Details day-to-day operations, monitoring, security, and compliance. Future Directions: Looks at emerging technologies, sustainability, and future trends in data center development. Key Topics Covered Historical Context: Learn about the origins and development of data centers. Core Components: Understand the essential elements that make up a data center. Modern Architectures: Explore traditional and cutting-edge data center architectures. Design and Efficiency: Discover best practices for designing scalable and sustainable data centers. Operational Excellence: Gain insights into effective data center management and operations. Technological Innovations: Stay updated on the latest trends and technologies transforming data centers. Future Insights: Prepare for the future with predictions and expert insights into the next generation of data centers. Our Journey Together As we embark on this journey through the world of modern data centers, you will gain a comprehensive understanding of how these critical infrastructures operate, evolve, and shape the future of technology. Each chapter builds on the last, providing a layered approach to learning that ensures you have a well-rounded grasp of both the theoretical and practical aspects of data centers. Thank you for choosing The Modern Data Center: A Comprehensive Guide. Let’s dive into the intricate and fascinating world of data centers, where technology, innovation, and strategic planning converge to power the digital age.
  data center infrastructure management software: Cloud Native Data Center Networking Dinesh G. Dutt, 2019-11-22 If you want to study, build, or simply validate your thinking about modern cloud native data center networks, this is your book. Whether you’re pursuing a multitenant private cloud, a network for running machine learning, or an enterprise data center, author Dinesh Dutt takes you through the steps necessary to design a data center that’s affordable, high capacity, easy to manage, agile, and reliable. Ideal for network architects, data center operators, and network and containerized application developers, this book mixes theory with practice to guide you through the architecture and protocols you need to create and operate a robust, scalable network infrastructure. The book offers a vendor-neutral way to look at network design. For those interested in open networking, this book is chock-full of examples using open source software, from FRR to Ansible. In the context of a cloud native data center, you’ll examine: Clos topology Network disaggregation Network operating system choices Routing protocol choices Container networking Network virtualization and EVPN Network automation
  data center infrastructure management software: BUILDING a MODERN DATA CENTER Principles and Strategies of Design Scott D. Lowe, 2016-01-10
  data center infrastructure management software: Data Center Fundamentals Mauricio Arregoces, Maurizio Portolani, 2003-12-04 Master the basics of data centers to build server farms that enhance your Web site performance Learn design guidelines that show how to deploy server farms in highly available and scalable environments Plan site performance capacity with discussions of server farm architectures and their real-life applications to determine your system needs Today's market demands that businesses have an Internet presence through which they can perform e-commerce and customer support, and establish a presence that can attract and increase their customer base. Underestimated hit ratios, compromised credit card records, perceived slow Web site access, or the infamous Object Not Found alerts make the difference between a successful online presence and one that is bound to fail. These challenges can be solved in part with the use of data center technology. Data centers switch traffic based on information at the Network, Transport, or Application layers. Content switches perform the best server selection process to direct users' requests for a specific service to a server in a server farm. The best server selection process takes into account both server load and availability, and the existence and consistency of the requested content. Data Center Fundamentals helps you understand the basic concepts behind the design and scaling of server farms using data center and content switching technologies. It addresses the principles and concepts needed to take on the most common challenges encountered during planning, implementing, and managing Internet and intranet IP-based server farms. An in-depth analysis of the data center technology with real-life scenarios make Data Center Fundamentals an ideal reference for understanding, planning, and designing Web hosting and e-commerce environments.
  data center infrastructure management software: CCNP Data Center Application Centric Infrastructure 300-620 DCACI Official Cert Guide Ammar Ahmadi, 2021-01-21 Trust the best-selling Official Cert Guide series from Cisco Press to help you learn, prepare, and practice for exam success. They are built with the objective of providing assessment, review, and practice to help ensure you are fully prepared for your certification exam. * Master CCNP Data Center Application Centric Infrastructure DCACI 300-620 exam topics * Assess your knowledge with chapter-opening quizzes * Review key concepts with exam preparation tasks This is the eBook edition of the CCNP Data Center Application Centric Infrastructure DCACI 300-620 Official Cert Guide. This eBook does not include access to the companion website with practice exam that comes with the print edition. CCNP Data Center Application Centric Infrastructure DCACI 300-620 Official Cert Guide presents you with an organized test-preparation routine through the use of proven series elements and techniques. “Do I Know This Already?” quizzes open each chapter and enable you to decide how much time you need to spend on each section. Exam topic lists make referencing easy. Chapter-ending Exam Preparation Tasks help you drill on key concepts you must know thoroughly. CCNP Data Center Application Centric Infrastructure DCACI 300-620 Official Cert Guide focuses specifically on the objectives for the CCNP Data Center DCACI exam. Leading Cisco data center technology expert Ammar Ahmadi shares preparation hints and test-taking tips, helping you identify areas of weakness and improve both your conceptual knowledge and hands-on skills. Material is presented in a concise manner, focusing on increasing your understanding and retention of exam topics. Well regarded for its level of detail, assessment features, comprehensive design scenarios, and challenging review questions and exercises, this official study guide helps you master the concepts and techniques that will enable you to succeed on the exam the first time. This official study guide helps you master all the topics on the CCNP Data Center Application Centric Infrastructure DCACI 300-620 exam. It tests your knowledge of Cisco switches in ACI mode, including • ACI fabric infrastructure • ACI packet forwarding • External network connectivity • Integrations • ACI management • ACI Anywhere CCNP Data Center Application Centric Infrastructure DCACI 300-620 Official Cert Guide is part of a recommended learning path from Cisco that includes simulation and hands-on training from authorized Cisco Learning Partners and self-study products from Cisco Press. To find out more about instructor-led training, e-learning, and hands-on instruction offered by authorized Cisco Learning Partners worldwide, please visit http://www.cisco.com/web/learning/index.html
  data center infrastructure management software: Site Reliability Engineering Niall Richard Murphy, Betsy Beyer, Chris Jones, Jennifer Petoff, 2016-03-23 The overwhelming majority of a software system’s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems? In this collection of essays and articles, key members of Google’s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient—lessons directly applicable to your organization. This book is divided into four sections: Introduction—Learn what site reliability engineering is and why it differs from conventional IT industry practices Principles—Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE) Practices—Understand the theory and practice of an SRE’s day-to-day work: building and operating large distributed computing systems Management—Explore Google's best practices for training, communication, and meetings that your organization can use
  data center infrastructure management software: Making It in IT Terry Critchley, 2016-11-03 Written for those starting a career in IT or whose career is well advanced, this career guide shows how to blaze a path to success through the jungle of modern IT. With a career spanning five decades, the author shares lessons he learned the hard way so readers do not have to learn them the hard way. By emphasizing the importance of business processes and applications to IT, this book explains how to understand the value and positioning of hardware and software technology in order to make appropriate decisions. It addresses the importance of IT architecture and the roles service and systems management play. It also explains service level agreements (SLAs) and provides sample SLAs. Readers learn how to conduct IT assessments using SWOT (strengths, weaknesses, opportunities, and threats) analysis. It also shows how to use root-cause analysis (RCA) to detect the sources of failure and poor performance. An overview of risk management and the steps involved in developing a business continuity plan are also included. The book looks at all facets of an IT professional’s career. It explains how to build an IT team and examines the roles and responsibilities within the team. It shows how to provide professional customer care to IT clients. Business executives recognize the importance of IT, and this book shows technology professionals how to thrive in the business world. It covers: Making effective presentations Report and proposal writing Negotiating and persuasion skills Running productive meetings Time and stress management The book also discusses such important career skills as listening, continual and incremental learning, and communicating at all levels. From its templates and checklists to its comprehensive and holistic view of a successful IT career, this book is an indispensable guide for every professional working in IT today and tomorrow.
  data center infrastructure management software: Smart Services Summit Shaun West, Jürg Meierhofer, Christopher Ganz, 2021-06-25 This book offers state-of-the-art descriptions of intelligent service innovations in industry, supported by novel scientific approaches. It gathers findings presented at the 3rd Intelligent Services Summit, which took place in Zurich in September 2020, and chiefly focused on the design and application of Digital Twin as an enabler for business development in the field of smart services. Divided into three parts, the book addresses the challenges involved in the successful development and implementation of smart services for industry and science, ranging from data management to product design and lifecycle management. The four main aspects covered are industrial challenges, value system design (how to integrate resources into service ecosystems to create value), value creation through value proposition (how to create value for ecosystem actors), and value capture (how to create value for ecosystem businesses). Given its scope, the book offers an essential guide for practitioners and advanced students alike.
  data center infrastructure management software: United States Code United States, 1982
  data center infrastructure management software: United States Code: Title 10: Armed forces [sections] 1431-7921 , 2013 Preface 2012 edition: The United States Code is the official codification of the general and permanent laws of the United States. The Code was first published in 1926, and a new edition of the code has been published every six years since 1934. The 2012 edition of the Code incorporates laws enacted through the One Hundred Twelfth Congress, Second session, the last of which was signed by the President on January 15, 2013. It does not include laws of the One Hundred Thirteenth Congress, First session, enacted between January 3, 2013, the date it convened, and January 15, 2013. By statutory authority this edition may be cited U.S.C. 2012 ed. As adopted in 1926, the Code established prima facie the general and permanent laws of the United States. The underlying statutes reprinted in the Code remained in effect and controlled over the Code in case of any discrepancy. In 1947, Congress began enacting individual titles of the Code into positive law. When a title is enacted into positive law, the underlying statutes are repealed and the title then becomes legal evidence of the law. Currently, 26 of the 51 titles in the Code have been so enacted. These are identified in the table of titles near the beginning of each volume. The Law Revision Counsel of the House of Representatives continues to prepare legislation pursuant to 2 USC 285b to enact the remainder of the Code, on a title-by-title basis, into positive law. The 2012 edition of the Code was prepared and published under the supervision of Ralph V. Seep, Law Revision Counsel. Grateful acknowledgment is made of the contributions by all who helped in this work, particularly the staffs of the Office of the Law Revision Counsel and the Government Printing Office. -- John. A. Boehner, Speaker of the House of Representatives, Washington, D.C., January 15, 2013--Page VII.
  data center infrastructure management software: Hyperconverged Infrastructure Data Centers Sam Halabi, 2019-01-18 Improve Manageability, Flexibility, Scalability, and Control with Hyperconverged Infrastructure Hyperconverged infrastructure (HCI) combines storage, compute, and networking in one unified system, managed locally or from the cloud. With HCI, you can leverage the cloud’s simplicity, flexibility, and scalability without losing control or compromising your ability to scale. In Hyperconverged Infrastructure Data Centers, best-selling author Sam Halabi demystifies HCI technology, outlines its use cases, and compares solutions from a vendor-neutral perspective. He guides you through evaluation, planning, implementation, and management, helping you decide where HCI makes sense, and how to migrate legacy data centers without disrupting production systems. The author brings together all the HCI knowledge technical professionals and IT managers need, whether their background is in storage, compute, virtualization, switching/routing, automation, or public cloud platforms. He explores leading solutions including the Cisco HyperFlex platform, VMware vSAN, Nutanix Enterprise Cloud, Cisco Application-Centric Infrastructure (ACI), VMware’s NSX, the open source OpenStack and Open vSwitch (OVS) / Open Virtual Network (OVN), and Cisco CloudCenter for multicloud management. As you explore discussions of automation, policy management, and other key HCI capabilities, you’ll discover powerful new opportunities to improve control, security, agility, and performance. Understand and overcome key limits of traditional data center designs Discover improvements made possible by advances in compute, bus interconnect, virtualization, and software-defined storage Simplify rollouts, management, and integration with converged infrastructure (CI) based on the Cisco Unified Computing System (UCS) Explore HCI functionality, advanced capabilities, and benefits Evaluate key HCI applications, including DevOps, virtual desktops, ROBO, edge computing, Tier 1 enterprise applications, backup, and disaster recovery Simplify application deployment and policy setting by implementing a new model for provisioning, deployment, and management Plan, integrate, deploy, provision, manage, and optimize the Cisco HyperFlex hyperconverged infrastructure platform Assess alternatives such as VMware vSAN, Nutanix, open source OpenStack, and OVS/OVN, and compare architectural differences with HyperFlex Compare Cisco ACI (Application- Centric Infrastructure) and VMware NSX approaches to network automation, policies, and security This book is part of the Networking Technology Series from Cisco Press, which offers networking professionals valuable information for constructing efficient networks, understanding new technologies, and building successful careers.
  data center infrastructure management software: The Shortcut Guide to Data Center Energy Efficiency David Chernicoff, 2009
  data center infrastructure management software: Sustainable Low-Carbon City Development in China Axel Baeumler, Ede Ijjasz-Vasquez, Shomik Mehndiratta, 2012-04-12 This book summarizes experiences from the World Bank s activities related to low-carbon urban development in China. It highlights the need for low-carbon city development and presents details on specific sector-level experiences and lessons, a framework for action, and financing opportunities.
  data center infrastructure management software: IBM and Cisco: Together for a World Class Data Center Jon Tate, Pall Beck, Peter Clemens, Santiago Freitas, Jeff Gatz, Michele Girola, Jason Gmitter, Holger Mueller, Ray O'Hanlon, Veerendra Para, Joe Robinson, Andy Sholomon, Jason Walker, IBM Redbooks, 2013-07-31 This IBM® Redbooks® publication is an IBM and Cisco collaboration that articulates how IBM and Cisco can bring the benefits of their respective companies to the modern data center. It documents the architectures, solutions, and benefits that can be achieved by implementing a data center based on IBM server, storage, and integrated systems, with the broader Cisco network. We describe how to design a state-of-the art data center and networking infrastructure combining Cisco and IBM solutions. The objective is to provide a reference guide for customers looking to build an infrastructure that is optimized for virtualization, is highly available, is interoperable, and is efficient in terms of power and space consumption. It will explain the technologies used to build the infrastructure, provide use cases, and give guidance on deployments.
  data center infrastructure management software: Designed for Digital Jeanne W. Ross, Cynthia M. Beath, Martin Mocker, 2021-09-21 One of Forbes's Top Ten Technology Books of the Year How to redesign ‘big, old’ companies for digital success—featuring a survey of 300+ business leaders and 30+ global organizations, including Amazon, Uber, LEGO, Toyota North America, Philips, and USAA. Most established companies have deployed such digital technologies as the cloud, mobile apps, the internet of things, and artificial intelligence. But few established companies are designed for digital. This book offers an essential guide for retooling organizations for digital success through 5 key building blocks: • Shared Customer Insights • Operational Backbone • Digital Platform • Accountability Framework • External Developer Platform In the digital economy, rapid pace of change in technology capabilities and customer desires means that business strategy must be fluid. As a result, business design has become a critical management responsibility. Effective business design enables a company to quickly pivot in response to new competitive threats and opportunities. Most leaders today, however, rely on organizational structure to implement strategy, unaware that structure inhibits, rather than enables, agility. In companies that are designed for digital, people, processes, data, and technology are synchronized to identify and deliver innovative customer solutions—and redefine strategy. Digital design, not strategy, is what separates winners from losers in the digital economy. Designed for Digital offers practical advice on digital transformation, with examples that include Amazon, BNY Mellon, DBS Bank, LEGO, Philips, Schneider Electric, USAA, and many other global organizations. Drawing on 5 years of research and in-depth case studies, the book is an essential guide for companies that want to disrupt rather than be disrupted in the new digital landscape.
  data center infrastructure management software: Green Building, Materials and Civil Engineering Jimmy C.M. Kao, Wen-Pei Sung, Ran Chen, 2014-10-21 This book contains select green building, materials, and civil engineering papers from the 4th International Conference on Green Building, Materials and Civil Engineering (GBMCE), which was held in Hong Kong, August 21-22, 2014. This volume of proceedings aims to provide a platform for researchers, engineers, academics, and industry professionals f
  data center infrastructure management software: Cloud Native Infrastructure Justin Garrison, Kris Nova, 2017-10-25 Cloud native infrastructure is more than servers, network, and storage in the cloud—it is as much about operational hygiene as it is about elasticity and scalability. In this book, you’ll learn practices, patterns, and requirements for creating infrastructure that meets your needs, capable of managing the full life cycle of cloud native applications. Justin Garrison and Kris Nova reveal hard-earned lessons on architecting infrastructure from companies such as Google, Amazon, and Netflix. They draw inspiration from projects adopted by the Cloud Native Computing Foundation (CNCF), and provide examples of patterns seen in existing tools such as Kubernetes. With this book, you will: Understand why cloud native infrastructure is necessary to effectively run cloud native applications Use guidelines to decide when—and if—your business should adopt cloud native practices Learn patterns for deploying and managing infrastructure and applications Design tests to prove that your infrastructure works as intended, even in a variety of edge cases Learn how to secure infrastructure with policy as code
  data center infrastructure management software: Public Statutes at Large of the United States of America United States, 2013 Vols. for 1950-19 contained treaties and international agreements issued by the Secretary of State as United States treaties and other international agreements.
  data center infrastructure management software: United States Statutes at Large United States, 2011
  data center infrastructure management software: United States at Large ,
  data center infrastructure management software: Signal , 2013
  data center infrastructure management software: Navigating the HVAC Landscape: Market Insights and Strategic Comparisons in Commercial and Industrial Solutions Charles Nehme, The commercial and industrial HVAC industry is a dynamic and rapidly evolving field, playing a critical role in ensuring the comfort, efficiency, and sustainability of buildings across the globe. As businesses, data centers, and infrastructure continue to expand, the demand for advanced HVAC solutions grows ever more critical. This book, Navigating the HVAC Landscape: Market Insights and Strategic Comparisons in Commercial and Industrial Solutions, is designed to provide a comprehensive exploration of the current state of the HVAC industry, with a focus on market segmentation, technological advancements, and strategic comparisons among leading industry players. In this book, we delve into the key components of the HVAC market, examining both the light and large commercial segments, and providing insights into the market dynamics that shape them. We explore the roles of major players like Johnson Controls, Trane, Carrier, and Vertiv, comparing their offerings, technologies, and market strategies. Through detailed analysis, we offer a breakdown of product segments such as chillers, air handling units, rooftop units, and more, highlighting how these solutions cater to the diverse needs of different commercial environments, including the highly specialized data center sector. We also examine the financial profiles and market shares of these companies, offering a window into their competitive positioning and growth trajectories. Understanding these elements is crucial for industry professionals, investors, and anyone interested in the future of HVAC technology and its impact on global infrastructure. As you navigate through the chapters, you'll find a blend of market data, industry experience, and strategic insights that collectively paint a detailed picture of the HVAC industry today. Whether you're a seasoned professional, a newcomer to the field, or simply curious about the intricacies of commercial HVAC systems, this book provides the knowledge and perspective needed to understand and engage with this essential industry. We hope this book serves as a valuable resource in your journey to understanding the complexities and opportunities within the HVAC market. It is our aim to equip you with the insights necessary to make informed decisions and to appreciate the technological innovations that drive this critical sector forward.
  data center infrastructure management software: Intelligent Building Control Systems John T. Wen, Sandipan Mishra, 2017-12-04 Readers of this book will be shown how, with the adoption of ubiquituous sensing, extensive data-gathering and forecasting, and building-embedded advanced actuation, intelligent building systems with the ability to respond to occupant preferences in a safe and energy-efficient manner are becoming a reality. The articles collected present a holistic perspective on the state of the art and current research directions in building automation, advanced sensing and control, including: model-based and model-free control design for temperature control; smart lighting systems; smart sensors and actuators (such as smart thermostats, lighting fixtures and HVAC equipment with embedded intelligence); and energy management, including consideration of grid connectivity and distributed intelligence. These articles are both educational for practitioners and graduate students interested in design and implementation, and foundational for researchers interested in understanding the state of the art and the challenges that must be overcome in realizing the potential benefits of smart building systems. This edited volume also includes case studies from implementation of these algorithms/sensing strategies in to-scale building systems. These demonstrate the benefits and pitfalls of using smart sensing and control for enhanced occupant comfort and energy efficiency.
  data center infrastructure management software: Sun Tracker, Automatic Solar- Tracking, Sun- Tracking Systems, Solar Trackers and Automatic Sun Tracker Systems 太陽能跟踪 Солнечная слежения Gerro Prinsloo, Robert Dobson, 2014-10-12 This book details Automatic Solar-Tracking, Sun-Tracking-Systems, Solar-Trackers and Sun Tracker Systems. An intelligent automatic solar tracker is a device that orients a payload toward the sun. Such programmable computer based solar tracking device includes principles of solar tracking, solar tracking systems, as well as microcontroller, microprocessor and/or PC based solar tracking control to orientate solar reflectors, solar lenses, photovoltaic panels or other optical configurations towards the sun. Motorized space frames and kinematic systems ensure motion dynamics and employ drive technology and gearing principles to steer optical configurations such as mangin, parabolic, conic, or cassegrain solar energy collectors to face the sun and follow the sun movement contour continuously. In harnessing power from the sun through a solar tracker or practical solar tracking system, renewable energy control automation systems require automatic solar tracking software and solar position algorithms to accomplish dynamic motion control with control automation architecture, circuit boards and hardware. On-axis sun tracking system such as the altitude-azimuth dual axis or multi-axis solar tracker systems use a sun tracking algorithm or ray tracing sensors or software to ensure the sun's passage through the sky is traced with high precision in automated solar tracker applications, right through summer solstice, solar equinox and winter solstice. A high precision sun position calculator or sun position algorithm is this an important step in the design and construction of an automatic solar tracking system. From sun tracing software perspective, the sonnet Tracing The Sun has a literal meaning. Within the context of sun track and trace, this book explains that the sun's daily path across the sky is directed by relatively simple principles, and if grasped/understood, then it is relatively easy to trace the sun with sun following software. Sun position computer software for tracing the sun are available as open source code, sources that is listed in this book. Ironically there was even a system called sun chaser, said to have been a solar positioner system known for chasing the sun throughout the day. Using solar equations in an electronic circuit for automatic solar tracking is quite simple, even if you are a novice, but mathematical solar equations are over complicated by academic experts and professors in text-books, journal articles and internet websites. In terms of solar hobbies, scholars, students and Hobbyist's looking at solar tracking electronics or PC programs for solar tracking are usually overcome by the sheer volume of scientific material and internet resources, which leaves many developers in frustration when search for simple experimental solar tracking source-code for their on-axis sun-tracking systems. This booklet will simplify the search for the mystical sun tracking formulas for your sun tracker innovation and help you develop your own autonomous solar tracking controller. By directing the solar collector directly into the sun, a solar harvesting means or device can harness sunlight or thermal heat. This is achieved with the help of sun angle formulas, solar angle formulas or solar tracking procedures for the calculation of sun's position in the sky. Automatic sun tracking system software includes algorithms for solar altitude azimuth angle calculations required in following the sun across the sky. In using the longitude, latitude GPS coordinates of the solar tracker location, these sun tracking software tools supports precision solar tracking by determining the solar altitude-azimuth coordinates for the sun trajectory in altitude-azimuth tracking at the tracker location, using certain sun angle formulas in sun vector calculations. Instead of follow the sun software, a sun tracking sensor such as a sun sensor or webcam or video camera with vision based sun following image processing software can also be used to determine the position of the sun optically. Such optical feedback devices are often used in solar panel tracking systems and dish tracking systems. Dynamic sun tracing is also used in solar surveying, DNI analyser and sun surveying systems that build solar infographics maps with solar radiance, irradiance and DNI models for GIS (geographical information system). In this way geospatial methods on solar/environment interaction makes use use of geospatial technologies (GIS, Remote Sensing, and Cartography). Climatic data and weather station or weather center data, as well as queries from sky servers and solar resource database systems (i.e. on DB2, Sybase, Oracle, SQL, MySQL) may also be associated with solar GIS maps. In such solar resource modelling systems, a pyranometer or solarimeter is normally used in addition to measure direct and indirect, scattered, dispersed, reflective radiation for a particular geographical location. Sunlight analysis is important in flash photography where photographic lighting are important for photographers. GIS systems are used by architects who add sun shadow applets to study architectural shading or sun shadow analysis, solar flux calculations, optical modelling or to perform weather modelling. Such systems often employ a computer operated telescope type mechanism with ray tracing program software as a solar navigator or sun tracer that determines the solar position and intensity. The purpose of this booklet is to assist developers to track and trace suitable source-code and solar tracking algorithms for their application, whether a hobbyist, scientist, technician or engineer. Many open-source sun following and tracking algorithms and source-code for solar tracking programs and modules are freely available to download on the internet today. Certain proprietary solar tracker kits and solar tracking controllers include a software development kit SDK for its application programming interface API attributes (Pebble). Widget libraries, widget toolkits, GUI toolkit and UX libraries with graphical control elements are also available to construct the graphical user interface (GUI) for your solar tracking or solar power monitoring program. The solar library used by solar position calculators, solar simulation software and solar contour calculators include machine program code for the solar hardware controller which are software programmed into Micro-controllers, Programmable Logic Controllers PLC, programmable gate arrays, Arduino processor or PIC processor. PC based solar tracking is also high in demand using C++, Visual Basic VB, as well as MS Windows, Linux and Apple Mac based operating systems for sun path tables on Matlab, Excel. Some books and internet webpages use other terms, such as: sun angle calculator, sun position calculator or solar angle calculator. As said, such software code calculate the solar azimuth angle, solar altitude angle, solar elevation angle or the solar Zenith angle (Zenith solar angle is simply referenced from vertical plane, the mirror of the elevation angle measured from the horizontal or ground plane level). Similar software code is also used in solar calculator apps or the solar power calculator apps for IOS and Android smartphone devices. Most of these smartphone solar mobile apps show the sun path and sun-angles for any location and date over a 24 hour period. Some smartphones include augmented reality features in which you can physically see and look at the solar path through your cell phone camera or mobile phone camera at your phone's specific GPS location. In the computer programming and digital signal processing (DSP) environment, (free/open source) program code are available for VB, .Net, Delphi, Python, C, C+, C++, PHP, Swift, ADM, F, Flash, Basic, QBasic, GBasic, KBasic, SIMPL language, Squirrel, Solaris, Assembly language on operating systems such as MS Windows, Apple Mac, DOS or Linux OS. Software algorithms predicting position of the sun in the sky are commonly available as graphical programming platforms such as Matlab (Mathworks), Simulink models, Java applets, TRNSYS simulations, Scada system apps, Labview module, Beckhoff TwinCAT (Visual Studio), Siemens SPA, mobile and iphone apps, Android or iOS tablet apps, and so forth. At the same time, PLC software code for a range of sun tracking automation technology can follow the profile of sun in sky for Siemens, HP, Panasonic, ABB, Allan Bradley, OMRON, SEW, Festo, Beckhoff, Rockwell, Schneider, Endress Hauser, Fudji electric. Honeywell, Fuchs, Yokonawa, or Muthibishi platforms. Sun path projection software are also available for a range of modular IPC embedded PC motherboards, Industrial PC, PLC (Programmable Logic Controller) and PAC (Programmable Automation Controller) such as the Siemens S7-1200 or Siemens Logo, Beckhoff IPC or CX series, OMRON PLC, Ercam PLC, AC500plc ABB, National Instruments NI PXI or NI cRIO, PIC processor, Intel 8051/8085, IBM (Cell, Power, Brain or Truenorth series), FPGA (Xilinx Altera Nios), Intel, Xeon, Atmel megaAVR, MPU, Maple, Teensy, MSP, XMOS, Xbee, ARM, Raspberry Pi, Eagle, Arduino or Arduino AtMega microcontroller, with servo motor, stepper motor, direct current DC pulse width modulation PWM (current driver) or alternating current AC SPS or IPC variable frequency drives VFD motor drives (also termed adjustable-frequency drive, variable-speed drive, AC drive, micro drive or inverter drive) for electrical, mechatronic, pneumatic, or hydraulic solar tracking actuators. The above motion control and robot control systems include analogue or digital interfacing ports on the processors to allow for tracker angle orientation feedback control through one or a combination of angle sensor or angle encoder, shaft encoder, precision encoder, optical encoder, magnetic encoder, direction encoder, rotational encoder, chip encoder, tilt sensor, inclination sensor, or pitch sensor. Note that the tracker's elevation or zenith axis angle may measured using an altitude angle-, declination angle-, inclination angle-, pitch angle-, or vertical angle-, zenith angle- sensor or inclinometer. Similarly the tracker's azimuth axis angle be measured with a azimuth angle-, horizontal angle-, or roll angle- sensor. Chip integrated accelerometer magnetometer gyroscope type angle sensors can also be used to calculate displacement. Other options include the use of thermal imaging systems such as a Fluke thermal imager, or robotic or vision based solar tracker systems that employ face tracking, head tracking, hand tracking, eye tracking and car tracking principles in solar tracking. With unattended decentralised rural, island, isolated, or autonomous off-grid power installations, remote control, monitoring, data acquisition, digital datalogging and online measurement and verification equipment becomes crucial. It assists the operator with supervisory control to monitor the efficiency of remote renewable energy resources and systems and provide valuable web-based feedback in terms of CO2 and clean development mechanism (CDM) reporting. A power quality analyser for diagnostics through internet, WiFi and cellular mobile links is most valuable in frontline troubleshooting and predictive maintenance, where quick diagnostic analysis is required to detect and prevent power quality issues. Solar tracker applications cover a wide spectrum of solar energy and concentrated solar devices, including solar power generation, solar desalination, solar water purification, solar steam generation, solar electricity generation, solar industrial process heat, solar thermal heat storage, solar food dryers, solar water pumping, hydrogen production from methane or producing hydrogen and oxygen from water (HHO) through electrolysis. Many patented or non-patented solar apparatus include tracking in solar apparatus for solar electric generator, solar desalinator, solar steam engine, solar ice maker, solar water purifier, solar cooling, solar refrigeration, USB solar charger, solar phone charging, portable solar charging tracker, solar coffee brewing, solar cooking or solar dying means. Your project may be the next breakthrough or patent, but your invention is held back by frustration in search for the sun tracker you require for your solar powered appliance, solar generator, solar tracker robot, solar freezer, solar cooker, solar drier, solar pump, solar freezer, or solar dryer project. Whether your solar electronic circuit diagram include a simplified solar controller design in a solar electricity project, solar power kit, solar hobby kit, solar steam generator, solar hot water system, solar ice maker, solar desalinator, hobbyist solar panels, hobby robot, or if you are developing professional or hobby electronics for a solar utility or micro scale solar powerplant for your own solar farm or solar farming, this publication may help accelerate the development of your solar tracking innovation. Lately, solar polygeneration, solar trigeneration (solar triple generation), and solar quad generation (adding delivery of steam, liquid/gaseous fuel, or capture food-grade CO$_2$) systems have need for automatic solar tracking. These systems are known for significant efficiency increases in energy yield as a result of the integration and re-use of waste or residual heat and are suitable for compact packaged micro solar powerplants that could be manufactured and transported in kit-form and operate on a plug-and play basis. Typical hybrid solar power systems include compact or packaged solar micro combined heat and power (CHP or mCHP) or solar micro combined, cooling, heating and power (CCHP, CHPC, mCCHP, or mCHPC) systems used in distributed power generation. These systems are often combined in concentrated solar CSP and CPV smart microgrid configurations for off-grid rural, island or isolated microgrid, minigrid and distributed power renewable energy systems. Solar tracking algorithms are also used in modelling of trigeneration systems using Matlab Simulink (Modelica or TRNSYS) platform as well as in automation and control of renewable energy systems through intelligent parsing, multi-objective, adaptive learning control and control optimization strategies. Solar tracking algorithms also find application in developing solar models for country or location specific solar studies, for example in terms of measuring or analysis of the fluctuations of the solar radiation (i.e. direct and diffuse radiation) in a particular area. Solar DNI, solar irradiance and atmospheric information and models can thus be integrated into a solar map, solar atlas or geographical information systems (GIS). Such models allows for defining local parameters for specific regions that may be valuable in terms of the evaluation of different solar in photovoltaic of CSP systems on simulation and synthesis platforms such as Matlab and Simulink or in linear or multi-objective optimization algorithm platforms such as COMPOSE, EnergyPLAN or DER-CAM. A dual-axis solar tracker and single-axis solar tracker may use a sun tracker program or sun tracker algorithm to position a solar dish, solar panel array, heliostat array, PV panel, solar antenna or infrared solar nantenna. A self-tracking solar concentrator performs automatic solar tracking by computing the solar vector. Solar position algorithms (TwinCAT, SPA, or PSA Algorithms) use an astronomical algorithm to calculate the position of the sun. It uses astronomical software algorithms and equations for solar tracking in the calculation of sun's position in the sky for each location on the earth at any time of day. Like an optical solar telescope, the solar position algorithm pin-points the solar reflector at the sun and locks onto the sun's position to track the sun across the sky as the sun progresses throughout the day. Optical sensors such as photodiodes, light-dependant-resistors (LDR) or photoresistors are used as optical accuracy feedback devices. Lately we also included a section in the book (with links to microprocessor code) on how the PixArt Wii infrared camera in the Wii remote or Wiimote may be used in infrared solar tracking applications. In order to harvest free energy from the sun, some automatic solar positioning systems use an optical means to direct the solar tracking device. These solar tracking strategies use optical tracking techniques, such as a sun sensor means, to direct sun rays onto a silicon or CMOS substrate to determine the X and Y coordinates of the sun's position. In a solar mems sun-sensor device, incident sunlight enters the sun sensor through a small pin-hole in a mask plate where light is exposed to a silicon substrate. In a web-camera or camera image processing sun tracking and sun following means, object tracking software performs multi object tracking or moving object tracking methods. In an solar object tracking technique, image processing software performs mathematical processing to box the outline of the apparent solar disc or sun blob within the captured image frame, while sun-localization is performed with an edge detection algorithm to determine the solar vector coordinates. An automated positioning system help maximize the yields of solar power plants through solar tracking control to harness sun's energy. In such renewable energy systems, the solar panel positioning system uses a sun tracking techniques and a solar angle calculator in positioning PV panels in photovoltaic systems and concentrated photovoltaic CPV systems. Automatic on-axis solar tracking in a PV solar tracking system can be dual-axis sun tracking or single-axis sun solar tracking. It is known that a motorized positioning system in a photovoltaic panel tracker increase energy yield and ensures increased power output, even in a single axis solar tracking configuration. Other applications such as robotic solar tracker or robotic solar tracking system uses robotica with artificial intelligence in the control optimization of energy yield in solar harvesting through a robotic tracking system. Automatic positioning systems in solar tracking designs are also used in other free energy generators, such as concentrated solar thermal power CSP and dish Stirling systems. The sun tracking device in a solar collector in a solar concentrator or solar collector Such a performs on-axis solar tracking, a dual axis solar tracker assists to harness energy from the sun through an optical solar collector, which can be a parabolic mirror, parabolic reflector, Fresnel lens or mirror array/matrix. A parabolic dish or reflector is dynamically steered using a transmission system or solar tracking slew drive mean. In steering the dish to face the sun, the power dish actuator and actuation means in a parabolic dish system optically focusses the sun's energy on the focal point of a parabolic dish or solar concentrating means. A Stirling engine, solar heat pipe, thermosyphin, solar phase change material PCM receiver, or a fibre optic sunlight receiver means is located at the focal point of the solar concentrator. The dish Stirling engine configuration is referred to as a dish Stirling system or Stirling power generation system. Hybrid solar power systems (used in combination with biogas, biofuel, petrol, ethanol, diesel, natural gas or PNG) use a combination of power sources to harness and store solar energy in a storage medium. Any multitude of energy sources can be combined through the use of controllers and the energy stored in batteries, phase change material, thermal heat storage, and in cogeneration form converted to the required power using thermodynamic cycles (organic Rankin, Brayton cycle, micro turbine, Stirling) with an inverter and charge controller. Book and literature review is ideal for sun and moon tracking in solar applications for sun-rich countries such as the USA, Spain, Portugal, Mediterranean, Italy, Greece, Mexico, Portugal, China, India, Brazil, Chili, Argentina, South America, etc. 这本书详细介绍了全自动太阳能跟踪，太阳跟踪系统的出现，太阳能跟踪器和太阳跟踪系统。智能全自动太阳能跟踪器是定向向着太阳的有效载荷设备。这种可编程计算机的太阳能跟踪装置，包括太阳跟踪，太阳能跟踪系统，以及微控制器，微处理器和/或基于PC机的太阳跟踪控制，以定向太阳能反射器，太阳透镜，光电板或其他光学配置朝向太阳的原理。机动空间框架和运动系统，确保运动动力学和采用的驱动技术和传动原理引导光学配置，如曼金，抛物线，圆锥曲线，或卡塞格林式太阳能集热器面向太阳，不断跟随太阳运动的轮廓。 从阳光透过太阳能跟踪器或实用的太阳能跟踪系统利用电力，可再生能源控制的自动化系统需要自动太阳跟踪软件和太阳位置算法来实现控制与自动化架构，电路板和硬件的动态运动控制。上轴太阳跟踪系统，如高度，方位角双轴或多轴太阳跟踪系统使用太阳跟踪算法或光线追踪传感器或软件，以确保通过天空中太阳的通道被跟踪的高精度的自动太阳跟踪器的应用，通过正确的夏至，春分太阳和冬至。一种高精度太阳位置计算器或太阳位置算法是这样的自动太阳能跟踪系统的设计和施工中的重要一步。 从太阳跟踪软件的角度来看，十四行诗跟踪太阳有一个字面意义。在太阳跟踪和追踪的背景下，这本书解释说，在天空中太阳的日常路径是通过相对简单的原则导向的，如果掌握/了解的话，就比较容易追查以下软件，太阳有太阳。是太阳位置的计算机软件用于跟踪太阳作为开源代码，列出在这本书的来源。讽刺的是还出现了系统，称为太阳跟踪器，据说已经知道了追逐太阳全天太阳能定位系统。 В этой книге подробно Автоматическая Solar-Tracking, ВС-Tracking-Systems, Solar-трекеры и ВС Tracker Systems. Интеллектуальный автоматический солнечной слежения является устройством, которое ориентирует полезную нагрузку к солнцу. Такое программируемый компьютер на основе солнечной устройство слежения включает принципы солнечной слежения, солнечных систем слежения, а также микроконтроллер, микропроцессор и / или ПК на базе управления солнечной отслеживания ориентироваться солнечных отражателей, солнечные линзы, фотоэлектрические панели или другие оптические конфигурации к ВС Моторизованные космические кадры и кинематические системы обеспечения динамики движения и использовать приводной техники и готовится принципы, чтобы направить оптические конфигурации, такие как Манжен, параболических, конических или Кассегрена солнечных коллекторов энергии, чтобы лицом к солнцу и следовать за солнцем контур движения непрерывно. В обуздывать силу от солнца через солнечный трекер или практической солнечной системы слежения, системы возобновляемых контроля энергии автоматизации требуют автоматического солнечной отслеживания программного обеспечения и алгоритмов солнечные позиции для достижения динамического контроля движения с архитектуры автоматизации управления, печатных плат и аппаратных средств. На оси системы слежения ВС, таких как высота-азимут двойной оси или многоосевые солнечные системы трекер использовать алгоритм отслеживания солнце или трассировки лучей датчиков или программное обеспечение, чтобы обеспечить прохождение солнца по небу прослеживается с высокой точностью в автоматизированных приложений Солнечная Tracker , прямо через летнего солнцестояния, солнечного равноденствия и зимнего солнцестояния.Высокая точность позиции ВС калькулятор или положение солнца алгоритм это важный шаг в проектировании и строительстве автоматической системой солнечной слежения.
  data center infrastructure management software: Green Computing in Network Security Deepak Kumar Sharma, Koyel Datta Gupta, Rinky Dwivedi, 2022-01-10 This book focuses on green computing-based network security techniques and addresses the challenges involved in practical implementation. It also explores the idea of energy-efficient computing for network and data security and covers the security threats involved in social networks, data centers, IoT, and biomedical applications. Green Computing in Network Security: Energy Efficient Solutions for Business and Home includes analysis of green-security mechanisms and explores the role of green computing for secured modern internet applications. It discusses green computing-based distributed learning approaches for security and emphasizes the development of green computing-based security systems for IoT devices. Written with researchers, academic libraries, and professionals in mind so they can get up to speed on network security, the challenges, and implementation processes.
  data center infrastructure management software: Storing Digital Binary Data in Cellular DNA Rocky Termanini, 2020-08-18 Storing Digital Binary Data into Cellular DNA demonstrates how current digital information storage systems have short longevity and limited capacity, also pointing out that their production and consumption of data exceeds supply. Author Rocky Termanini explains the DNA system and how it encodes vast amounts of data, then presents information on the emergence of DNA as a storage technology for the ever-growing stream of data being produced and consumed. The book will be of interest to a range of readers looking to understand this game-changing technology, including researchers in computer science, biomedical engineers, geneticists, physicians, clinicians, law enforcement and cybersecurity experts. - Presents a comprehensive reference on the fascinating and emerging technology of DNA storage - Helps readers understand key concepts on how DNA works as an information storage system - Provides readers with key information on the technologies used to work with DNA data encoding, such as CRISPR - Covers emerging areas of application and ethical concern, such as Smart Cities, cybercrime and cyberwarfare - Includes coverage of synthesizing DNA-encoded data, sequencing DNA-encoded data, and fusing DNA with Digital Immunity Ecosystems (DIE)
  data center infrastructure management software: Intelligent Solutions for Sustainable Power Grids Ashok Kumar, L., Angalaeswari, S., Mohana Sundaram, K., Bansal, Ramesh C., Patil, Arunkumar, 2024-05-01 In the environment of energy systems, the effective utilization of both conventional and renewable sources poses a major challenge. The integration of microgrid systems, crucial for harnessing energy from distributed sources, demands intricate solutions due to the inherent intermittency of these sources. Academic scholars engaged in power system research find themselves at the forefront of addressing issues such as energy source estimation, coordination in dynamic environments, and the effective utilization of artificial intelligence (AI) techniques. Intelligent Solutions for Sustainable Power Grids focuses on emerging research areas, this book addresses the uncertainty of renewable energy sources, employs state-of-the-art forecasting techniques, and explores the application of AI techniques for enhanced power system operations. From economic aspects to the digitalization of power systems, the book provides a holistic approach. Tailored for undergraduate and postgraduate students as well as seasoned researchers, it offers a roadmap to navigate the intricate landscape of modern power systems. Dive into a wealth of knowledge encompassing smart energy systems, renewable energy integration, stability analysis of microgrids, power quality enhancement, and much more. This book is not just a guide; it is the solution to the pressing challenges in the dynamic field of energy systems.
  data center infrastructure management software: Green Software Engineering Santiago Fontanarrosa, 2024-07-26 Craft sustainable software and reduce digital environmental impact with practical strategies and principles Key Features Discover practical strategies for developing energy-efficient digital solutions across various domains Learn effective strategies to measure and mitigate the environmental impact of digital solutions Explore real-world examples of integrating sustainable design patterns into the software development cycle Purchase of the print or Kindle book includes a free PDF eBook Book Description Embark on a transformative journey toward sustainable software engineering, exploring the vital intersection of technology and environmental responsibility. Authored by Santiago Fontanarrosa, a Green Software Foundation member with 20+ years in software engineering, this book explores practical strategies and use cases to help you assess and mitigate digital product environmental impact. Through real-world examples and hands-on experiences, you’ll gain the skills you need to craft environmentally responsible solutions aligned with green software engineering principles. As you progress, you’ll assess and optimize software architecture for sustainability within a sustainable software delivery framework schema. Beyond technical insights, the book delves into ethical implications and societal impacts, fostering a deeper understanding of the broader implications of technology usage. As you approach the conclusion, you’ll have gained the ability to comprehend, measure, and craft energy-efficient digital solutions aligned with green software engineering principles. What you will learn Optimize software and infrastructure for sustainability Integrate green software principles into the Agile Software Development Life Cycle Explore emerging trends and technologies shaping the future of green software engineering Reflect on tech ethics as well as address societal and environmental concerns Implement industry standards and reporting methodologies for software emissions Measure digital operations' environmental footprint with methodologies Mitigate software's ecological impact with strategic approaches Who this book is for If you’re a software developer, software architect, or IT professional who wants to integrate sustainability into your organization, this book is for you. Whether you're a seasoned professional or a sustainability-focused tech enthusiast, this book provides the knowledge and tools you need to drive positive change in the software industry. A basic understanding of IT concepts and programming is recommended, and familiarity in modern digital technologies like cloud computing will also be helpful.
  data center infrastructure management software: White Paper on Global Artificial Intelligence Environmental Impact Green AI Institute, U.S.-Asia Sustainable Development Foundation, The rapid growth of AI models and data centers has led to significant environmental impacts, including substantial energy consumption, carbon emissions, and water usage. Data centers now account for approximately 1-2% of global electricity consumption. These growing environmental concerns highlight the urgent need for comprehensive assessment and regulation. This paper introduces the AI Green Index, a framework designed to evaluate the environmental impact of AI models and data centers. The index offers a standardized, quantifiable metric to assess both carbon and water footprints across the life cycle of AI technologies. By promoting transparency, sustainable practices, and carbon-efficient innovations, the Green AI Index aims to guide stakeholders in reducing environmental impacts. Additionally, the paper analyzes current policies in major regions, including China, the U.S., and the EU, providing insights into strengths and weaknesses in environmental governance. The white paper seeks to inform researchers, industry leaders, and policymakers, fostering collaboration toward a sustainable AI future.
  data center infrastructure management software: Operations Management Antonella Petrillo, Fabio De Felice, Germano Lambert-Torres, Erik Bonaldi, 2021-03-03 Global competition has caused fundamental changes in the competitive environment of the manufacturing and service industries. Firms should develop strategic objectives that, upon achievement, result in a competitive advantage in the market place. The forces of globalization on one hand and rapidly growing marketing opportunities overseas, especially in emerging economies on the other, have led to the expansion of operations on a global scale. The book aims to cover the main topics characterizing operations management including both strategic issues and practical applications. A global environmental business including both manufacturing and services is analyzed. The book contains original research and application chapters from different perspectives. It is enriched through the analyses of case studies.
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)

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A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …

Autopilot: Automatic Data Center Management
the automatic data center management infrastructure developed within Microsoft over the last few years. Autopilot is responsible for automating software provisioning and deployment; system ...

Data center management software and services: Effective …
Sep 12, 2023 · A data center infrastructure management system collects and manages information about a data center’s assets, resource use and operational status. This information …

EBOOK What is a Data Center CMDB? - Sunbird DCIM
A Data Center CMDB is a component of Data Center Infrastructure Management (DCIM) software that expands upon and enhances the information that is typically tracked in a traditional IT …

Data Center Infrastructure Management (DCIM) …
The most basic definition is offered by 451 Group: “A data center infrastructure management (DCIM) system collects and manages information about a data center’s assets, resource use …

The impact of AI on data center operations (Part I) - Uptime …
of data center management. • The data center management maturity model, proposed by Uptime Institute in 2019, remains valid; however, it has been expanded beyond data center …

Data Center Physical Security: Best Practices Every Plan …
outside the fencing to clear inside the data center cabinets and cabling infrastructure with multiple forms of alarms and monitoring 24/7. Data Center Infrastructure Management (DCIM) software …

StruxureWareTM Data Center Operation - ecl-ips.com
TM Data Center Operation Data Center Infrastructure Management (DCIM) software for proactive data center life cycle management, optimizing existing capacities through intelligent resource …

Data Center Infrastructure Management DCIM Software
Data Center Infrastructure Management（DCIM） Software データセンター、サーバールームのITシステムを支える. シュナイダーエレクトリックの電源、冷却、環境監視ソリューション …

RDU-M Secure Data Center Infrastructure - vertiv.com
Vertiv provides 24x7 data center infrastructure management and network monitoring software, hardware, systems and services to provide continuous oversight and security of data centers, …

INFORMATION STORAGE AND MANAGEMENT (ISM) v3
understanding of the various storage infrastructure components in data center environments. The latest iteration of this popular course — ISM v3 (version 3) — enables participants to make ...

Data Center Infrastructure Management Evaluation …
Data Center Infrastructure Management Evaluation Checklist With this Evaluation Guide from CA Technologies, you can build a list of requirements for your DCIM ... Does it have automated …

Optimizing Data Center Efficiency: A Prescriptive Model for …
Optimizing Data Center Efficiency: A Prescriptive Model for Reducing Energy Consumption and Improving Performance Page 1 Executive Summary Faced with expanding IT requirements …

Data Center Infrastruc- ture Management
the-art engineering software tools and puts them in the hands of data center decision-makers, allowing them to optimize energy consumption. Equipment place- ... "Datacenter Clarity LC™, …

BY ORDER OF THE COMMANDER 480TH ISR WING …
Data Center Infrastructure Management (DCIM) system. The ADSM is a suite of system management tools that support baseline system engineering and acquisition responsibilities. It …

Data Center Infrastructure Management
Data Center Infrastructure Management (DCIM) By Dave Cole President, No Limits Software May 2012 Brought to you by. www.DataCenterKnowledge.com • Contact: Kevin Normandeau • 508 …

Physical Infrastructure Management Solutions - Panduit
Panduit’s Physical Infrastructure Management System Physical Infrastructure Manager™ (PIM™) Software Platform Panduit’s Physical Infrastructure Manager ™ (PIM ) Software Platform is a …

Data Centre Design & Implementation: An ROI Approach
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DCIM: An ‘Operating System’ for the Data Center - ABB
Data center infrastructure management (DCIM) is a powerful management solution with a complex provenance. Rooted in building automation, computer-based control systems for …

Data Center Infrastructure Management Managing the …
“A data center infrastructure management system collects and manages information about a data center’s assets, resource use and operational status. This information is then distributed, …

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ABB Decathlon® data center infrastructure management (DCIM) is an approach to optimizing entire enterprises that is inherently different from building management systems (BMS), ...

SMARTMOD™ Intelligent, Integrated Infrastructure for the …
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How Data Center Infrastructure - ecl-ips.com
Data center facility software tools (e.g., building management systems) are not discussed. For a descrip-tion of data center physical infrastructure software tools that exist within other data …

Performance and Security through a Modern OT Data Center
firmware updates, and network updates are all provided through data center management. 6. Flexibility and scalability – the IDC provides a pre-engineered solution ready to deploy at rapid …

SmartRow™ Solution - Anixter
industrial facilities. A trusted industry leader in smart infrastructure technologies, Emerson Network Power provides innovative data center infrastructure management solutions that …

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infrastructure components. Dell EMC quality assurance tests for interoperability of hardware and software ensures that your system and data center experience dramatically reduced downtime …

StruxureWare for Data Centers Services - mobiledatacentre.com
StruxureWare for Data Centers Services // Data Center Infrastructure Management (DCIM) Software Schneider ElectricTM offers a comprehensive portfolio of services to support and …

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The State of Data Center Infrastructure White Paper …
We are in a “new normal” of data center infrastructure management, and it is not just about the COVID-19 pandemic. Yes, the pandemic was a catalyst for many industry changes- …

Five data center predictions for 2024 - Uptime Institute
limitations of) direct liquid cooling; the evolution of data center management software; and the emergence of data center campuses that redefine the meaning of hyperscale. Synopsis ...

StruxureWareTM Data Center Expert - ecl-ips.com
End to end data center infrastructure management software for monitoring and control of power, cooling, security and energy usage from ... to a data center’sphysical infrastructure and notify …

How Data Center Infrastructure - ecl-ips.com
Data center facility software tools (e.g., building management systems) are not discussed. For a descrip-tion of data center physical infrastructure software tools that exist within other data …

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Datacenter Infrastructure Management Software: Monitoring, Managing and Optimizing the Datacenter Report The 451 Group, 2011 CUSTOMER EXPECTATIONS COLOCATION …

AI Infrastructure and Operations – Public Training
on the data center infrastructure and operations. Target Audience. The course is designed for administrators, DevOps professionals, and IT-related roles who want to gain the knowledge …

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Edge Data Center - Vertiv
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Top 40 Data Center KPIs - Siemens
The US government created the Data Center Optimization Initiative (DCOI) mandate to address the inefficiencies of its federal agencies’ data center infrastructure. To comply with the DCOI, …

Proven Tips for a Successful Data Center Migration - Sunbird …
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Data Center Infrastructure Management
Data Center Infrastructure Management (DCIM) By Dave Cole President, No Limits Software May 2012 Brought to you by. www.DataCenterKnowledge.com • Contact: Kevin Normandeau • 508 …

Evolution of the Data Center: How to Modernize Your IT …
Historically, management of IT infrastructure has been a tedious and labor-intensive manual process, which caused errors and inefficiencies that then required even more human …

RiZone – Data Center Infrastructure Management - Rittal
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Remote Data Center Management
Remote Data Center Management: Metering Monitoring Management in the New Normal Power Metering with Intelligent Rack PDUs At the core of your remote data center management …

Data Center Infrastructure Management (DCIM) - BICSI
DCIM is software for Data Center Infrastructure Management. Data center infrastructure management (DCIM) tools monitor, measure, track and sometimes control data center …

The AI Disruption: Challenges and Guidance for Data Center …
of the data center physical infrastructure. This paper explains relevant attributes and trends of AI workloads, and describes the resulting data center challenges. Guidance to address these …

Data Center Handbook: Plan, Design, Build, and Operations …
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SuperCloud CompoSer Your Gateway to Compose …
management platform that provides a unified dashboard to administer software-defined data centers. Supermicro’s cloud infrastructure management software brings speed, agility, and …

These materials are © 2018 John Wiley & Sons, Inc. Any
a data center has driven the evolution of increasingly powerful solutions to help manage all the infrastructure a data center needs, including hardware, software, and facilities resources. How …

Leveraging Hyperconverged Infrastructure to Accelerate …
The dynamic nature of today's IT world provides users with many options when building out modern data center infrastructure. Businesses of all sizes have long been leveraging a mix of …

Data Center Infrastructure Solutions - deltaww.com
Have the entire data center at Power Management 1 UPS 2 Power Distribution Unit (PDU) 3 10Rack-mount Remote Power ... developed a new generation of data center infrastructure …

Preventive Maintenance Strategy for Data Centers
As with computer maintenance, data center physical infrastructure (i.e. power and cooling) equipment maintenance has also evolved over time. In the 1980s the internal architecture of a …

Data Sheet Infrastructure Manager (ISM) - Fujitsu
Jun 1, 2025 · to managing a single data center, but is also capable of distributed data center management. ISM is available as Essential edition for standard infrastructure management …