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| data center infrastructure management: Data Center Handbook Hwaiyu Geng, 2021-04-27 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: The Green and Virtual Data Center Greg Schulz, 2016-04-19 The Green and Virtual Data Center sets aside the political aspects of what is or is not considered green to instead focus on the opportunities for organizations that want to sustain environmentally-friendly economical growth. If you are willing to believe that IT infrastructure resources deployed in a highly virtualized manner can be combined with other technologies to achieve simplified and cost-effective delivery of services in a green, profitable manner, this book is for you. Savvy industry veteran Greg Schulz provides real-world insight, addressing best practices, server, software, storage, networking, and facilities issues concerning any current or next-generation virtual data center that relies on underlying physical infrastructures. Coverage includes: Energy and data footprint reduction, Cloud-based storage and computing, Intelligent and adaptive power management, Server, storage, and networking virtualization, Tiered servers and storage, network, and data centers, Energy avoidance and energy efficiency. Many current and emerging technologies can enable a green and efficient virtual data center to support and sustain business growth with a reasonable return on investment. This book presents virtually all critical IT technologies and techniques to discuss the interdependencies that need to be supported to enable a dynamic, energy-efficient, economical, and environmentally-friendly green IT data center. This is a path that every organization must ultimately follow. Take a tour of the Green and Virtual Data Center website. CRC Press is pleased to announce that The Green and Virtual Data Center has been added to Intel Corporation's Recommended Reading List. Intel's Recommended Reading program provides technical professionals a simple and handy reference list of what to read to stay abreast of new technologies. Dozens of industry technologists, corporate fellows, and engineers have helped by suggesting books and reviewing the list. This is the most comprehensive reading list available for professional computer developers. |
| data center infrastructure management: 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 center infrastructure management: Resilient Storage Networks Greg Schulz, 2004-06-10 A resilient storage network is an environment where data is always available for the needs of the business. This book explains the components, as well as how to design and implement a resilient storage network for workgroup, departmental, and enterprise environments. Storage networks are an enabling capability combining technology and best practices to provide the foundation to support information technology systems and applications. Storage networks can be of various sizes, shapes, and technologies. This book shows you how to implement a resilient storage network infrastructure using different technologies including ATM, DWDM, FCIP, Fibre Channel, FICON, iFCP, InfiniBand, IP, iSCSI, Life Cycle Management, NAS, Object Based Storage, RAID, RDMA, Remote Mirroring, Replication, SAN, SCSI, SMI-S, SONET/SDH, Storage Services, Tape, Virtualization, and Volume Managers.*Important information is clarified and put into context to separate myths and realities *Covers storage networking technologies (hardware, software, networks) and practices*Numerous tips and recommendations allow the reader to quickly understand best practices*Checklists, templates and examples show potential solutions |
| data center infrastructure management: Cloud and Virtual Data Storage Networking Greg Schulz, 2011-08-26 The amount of data being generated, processed, and stored has reached unprecedented levels. Even during the recent economic crisis, there has been no slow down or information recession. Instead, the need to process, move, and store data has only increased. Consequently, IT organizations are looking to do more with what they have while supporting gr |
| data center infrastructure management: 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: Green Data Centers Monthly Newsletter January 2010 , |
| data center infrastructure management: 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: 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: Handbook on Data Centers Samee U. Khan, Albert Y. Zomaya, 2015-03-16 This handbook offers a comprehensive review of the state-of-the-art research achievements in the field of data centers. Contributions from international, leading researchers and scholars offer topics in cloud computing, virtualization in data centers, energy efficient data centers, and next generation data center architecture. It also comprises current research trends in emerging areas, such as data security, data protection management, and network resource management in data centers. Specific attention is devoted to industry needs associated with the challenges faced by data centers, such as various power, cooling, floor space, and associated environmental health and safety issues, while still working to support growth without disrupting quality of service. The contributions cut across various IT data technology domains as a single source to discuss the interdependencies that need to be supported to enable a virtualized, next-generation, energy efficient, economical, and environmentally friendly data center. This book appeals to a broad spectrum of readers, including server, storage, networking, database, and applications analysts, administrators, and architects. It is intended for those seeking to gain a stronger grasp on data center networks: the fundamental protocol used by the applications and the network, the typical network technologies, and their design aspects. The Handbook of Data Centers is a leading reference on design and implementation for planning, implementing, and operating data center networks. |
| data center infrastructure management: 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: Ventilation vs. Cooling: Optimizing Data Center Climate Control Charles Nehme, In today’s data-driven world, the role of data centers has never been more crucial. These facilities are the backbone of the digital infrastructure that supports everything from cloud computing to financial transactions, and even our daily online interactions. As the demand for data processing and storage continues to grow exponentially, so does the need to ensure that data centers operate efficiently and reliably. Effective climate control within a data center is a critical aspect of maintaining operational efficiency and safeguarding the integrity of IT equipment. The balance between adequate ventilation and precise cooling is pivotal, not only for optimizing performance but also for minimizing energy consumption and reducing operational costs. This book, Optimizing Data Center Climate Control: From Ventilation to Advanced Cooling Solutions, is designed to provide a comprehensive guide to understanding and managing the climate control needs of modern data centers. It addresses the fundamental principles of heat load, cooling requirements, and airflow management, and explores advanced techniques for thermal analysis and computational modeling. The objective of this book is twofold. First, to equip data center professionals with the knowledge needed to evaluate whether their facility requires simple ventilation or a more sophisticated cooling system. Second, to offer practical insights and tools for enhancing the efficiency and sustainability of data center operations. The journey through this book will begin with an introduction to the basics of data center climate control, proceed to an in-depth analysis of heat load and ambient conditions, and explore effective design and airflow management strategies. Further, it will delve into advanced thermal analysis and computational modeling techniques, followed by best practices in monitoring and maintenance. The book will also cover strategic planning for future growth, regulatory compliance, and a decision-making framework for optimizing climate control. Throughout the chapters, you will find a range of tools and resources, case studies showcasing real-world applications, and answers to frequently asked questions. These elements are intended to provide both foundational knowledge and actionable strategies for addressing the unique challenges faced in managing data center climates. This book is the result of extensive research, industry experience, and collaboration with experts in the field. It is intended for data center managers, engineers, and professionals seeking to enhance their understanding and skills in climate control. Whether you are overseeing a single facility or managing a global network of data centers, this guide will serve as a valuable resource for achieving operational excellence and sustainability. We hope this book will not only serve as an educational tool but also inspire innovative approaches to data center management, ultimately contributing to the efficient and reliable operation of these critical infrastructures. |
| data center infrastructure management: Research Advances in Cloud Computing Sanjay Chaudhary, Gaurav Somani, Rajkumar Buyya, 2017-12-28 This book addresses the emerging area of cloud computing, providing a comprehensive overview of the research areas, recent work and open research problems. The move to cloud computing is no longer merely a topic of discussion; it has become a core competency that every modern business needs to embrace and excel at. It has changed the way enterprise and internet computing is viewed, and this success story is the result of the long-term efforts of computing research community around the globe. It is predicted that by 2026 more than two-thirds of all enterprises across the globe will be entirely run in cloud. These predictions have led to huge levels of funding for research and development in cloud computing and related technologies. Accordingly, universities across the globe have incorporated cloud computing and its related technologies in their curriculum, and information technology (IT) organizations are accelerating their skill-set evolution in order to be better prepared to manage emerging technologies and public expectations of the cloud, such as new services. |
| data center infrastructure management: Technologies in Data Centers: Innovations for Efficiency, Security, and Sustainability Charles Nehme, Data centers are the nerve centers of our digital landscape, housing the vast networks and storage systems that power everything from online banking and social media to complex scientific research and artificial intelligence. As the world becomes increasingly interconnected, the demands placed on data centers have grown exponentially, driving the need for more efficient, secure, and sustainable technologies. In the past, data centers were largely hidden behind the scenes, supporting business operations but rarely at the forefront of technological conversation. Today, however, they are evolving rapidly and becoming crucial components of a global digital infrastructure. The importance of high-performance data centers cannot be overstated, as they enable the continuous flow of information that powers modern economies, supports remote work, and facilitates groundbreaking innovations in AI, IoT, and machine learning. This book, Technologies in Data Centers: Innovations for Efficiency, Security, and Sustainability, provides an in-depth look into the array of technologies shaping data centers today and guiding their future development. From advanced power management systems and intelligent cooling solutions to the latest in automation, security, and green practices, this book examines how data centers are adapting to new technical, environmental, and regulatory challenges. It also highlights the role of emerging trends, such as edge computing and hyperscale data centers, in meeting the demand for faster, more localized data processing. Each chapter covers a critical area of data center technology, detailing both current solutions and emerging innovations. You’ll discover the principles and practices that data center operators use to enhance energy efficiency, implement secure data handling, leverage AI-driven automation, and improve resilience in the face of rising environmental concerns. By understanding these technologies, data center professionals can improve operations, reduce energy consumption, and ensure that their facilities remain both competitive and sustainable. For readers who may be new to the field, this book provides foundational knowledge and insights into the complex ecosystem of data center technology. Ultimately, the goal of this book is to illuminate the technologies driving data center transformation, providing a guide for anyone invested in the future of this essential industry. In a time where every byte of data matters, understanding these innovations is not just beneficial—it’s essential. Let us begin this journey into the future of data centers and discover how technology is setting the stage for a more connected, efficient, and sustainable world. |
| data center infrastructure management: IBM SmartCloud: Building a Cloud Enabled Data Center Pietro Iannucci, Manav Gupta, IBM Redbooks, 2013-05-21 Organizations are looking for ways to get more out of their already strained IT infrastructure as they face new technological and economic pressures. They are also trying to satisfy a broad set of users (internal and external to the enterprise) who demand improvements in their quality of service (QoS), regardless of increases in the number of users and applications. Cloud computing offers attractive opportunities to reduce costs, accelerate development, and increase the flexibility of the IT infrastructure, applications, and services. Infrastructure as a service (IaaS) is the typical starting point for most organizations when moving to a cloud computing environment. IaaS can be used for the delivery of resources such as compute, storage, and network services through a self-service portal. With IaaS, IT services are delivered as a subscription service, eliminating up-front costs and driving down ongoing support costs. IBM® has defined the Cloud Computing Reference Architecture (CCRA) based on years of experience of working with customers who have implemented cloud-computing solutions. The IBM CCRA is a blueprint or guide for architecting cloud-computing implementations. This IBM RedguideTM publication highlights the Cloud Enabled Data Center adoption pattern and describes how you can use it to define an IaaS solution. This guide is intended for chief technology officers, data center architects, IT architects, and application architects who want to understand the cloud-computing infrastructure necessary to support their applications and services by using an IaaS solution. It explains the technical and business benefits of a Cloud Enabled Data Center solution. It introduces a Cloud Enabled Data Center maturity model where each maturity level corresponds to an increase in the degree of automation and the cloud-computing capabilities that are available. In addition, this guide describes the architectural framework provided by the IBM CCRA and explains details about the Cloud Enabled Data Center adoption pattern. |
| data center infrastructure management: Engineering and Management of Data Centers Jorge Marx Gómez, Manuel Mora, Mahesh S. Raisinghani, Wolfgang Nebel, Rory V. O'Connor, 2017-11-10 This edited volume covers essential and recent development in the engineering and management of data centers. Data centers are complex systems requiring ongoing support, and their high value for keeping business continuity operations is crucial. The book presents core topics on the planning, design, implementation, operation and control, and sustainability of a data center from a didactical and practitioner viewpoint. Chapters include: · Foundations of data centers: Key Concepts and Taxonomies · ITSDM: A Methodology for IT Services Design · Managing Risks on Data Centers through Dashboards · Risk Analysis in Data Center Disaster Recovery Plans · Best practices in Data Center Management Case: KIO Networks · QoS in NaaS (Network as a Service) using Software Defined Networking · Optimization of Data Center Fault-Tolerance Design · Energetic Data Centre Design Considering Energy Efficiency Improvements During Operation · Demand-side Flexibility and Supply-side Management: The Use Case of Data Centers and Energy Utilities · DevOps: Foundations and its Utilization in Data Centers · Sustainable and Resilient Network Infrastructure Design for Cloud Data Centres · Application Software in Cloud-Ready Data Centers This book bridges the gap between academia and the industry, offering essential reading for practitioners in data centers, researchers in the area, and faculty teaching related courses on data centers. The book can be used as a complementary text for traditional courses on Computer Networks, as well as innovative courses on IT Architecture, IT Service Management, IT Operations, and Data Centers. |
| data center infrastructure management: The Emerging Indonesian Data Center Market and Energy Efficiency Opportunities Asian Development Bank, 2017-04-01 Global data center energy use was estimated at 1.1% of total energy use in 2012 and is expected to increase to 2.5% by 2020. Indonesian data centers used an estimated 1.5% of total electricity generating capacity in 2014 and are expected to use between 2.0% and 3.0% by 2017. This report assesses the Indonesian data center industry in terms of energy use, energy saving potential, market trends, growth opportunities, and major challenges. This report shows how Indonesia and other developing countries can attain up to 30% energy savings and improve the effectiveness, sustainability, and global competitiveness of data centers by adopting internationally proven energy efficiency measures. |
| data center infrastructure management: Swarm Intelligence for Cloud Computing Indrajit Pan, Mohamed Abd Elaziz, Siddhartha Bhattacharyya, 2020-07-19 Swarm Intelligence in Cloud Computing is an invaluable treatise for researchers involved in delivering intelligent optimized solutions for reliable deployment, infrastructural stability, and security issues of cloud-based resources. Starting with a bird’s eye view on the prevalent state-of-the-art techniques, this book enriches the readers with the knowledge of evolving swarm intelligent optimized techniques for addressing different cloud computing issues including task scheduling, virtual machine allocation, load balancing and optimization, deadline handling, power-aware profiling, fault resilience, cost-effective design, and energy efficiency. The book offers comprehensive coverage of the most essential topics, including: Role of swarm intelligence on cloud computing services Cloud resource sharing strategies Cloud service provider selection Dynamic task and resource scheduling Data center resource management. Indrajit Pan is an Associate Professor in Information Technology of RCC Institute of Information Technology, India. He received his PhD from Indian Institute of Engineering Science and Technology, Shibpur, India. With an academic experience of 14 years, he has published around 40 research publications in different international journals, edited books, and conference proceedings. Mohamed Abd Elaziz is a Lecturer in the Mathematical Department of Zagazig University, Egypt. He received his PhD from the same university. He is the author of more than 100 articles. His research interests include machine learning, signal processing, image processing, cloud computing, and evolutionary algorithms. Siddhartha Bhattacharyya is a Professor in Computer Science and Engineering of Christ University, Bangalore. He received his PhD from Jadavpur University, India. He has published more than 230 research publications in international journals and conference proceedings in his 20 years of academic experience. |
| data center infrastructure management: Green Data Centers Monthly Newsletter March 2010 , |
| data center infrastructure management: Intelligent Manufacturing Management Systems Kamalakanta Muduli, V. P. Kommula, Devendra K. Yadav, M. Chithirai Pon Selvan, Jayakrishna Kandasamy, 2023-05-31 INTRELLIGENT MANUFACTURING MANAGEMENT SYSTEMS The book explores the latest manufacturing techniques in relation to AI and evolutionary algorithms that can monitor and control the manufacturing environment. The concepts that pertain to the application of digital evolutionary technologies in the sphere of industrial engineering and manufacturing are presented in this book. A few chapters demonstrate stepwise discussion, case studies, structured literature review, rigorous experimentation results, and applications. Further chapters address the challenges encountered by industries in integrating these digital technologies into their operational activities, as well as the opportunities for this integration. In addition, the reader will find: Systemic explanations of the unique characteristics of big data, cloud computing, and AI used for decision-making in intelligent production systems; Highlights of the current and highly relevant topics in manufacturing management; Structured presentations resolving the issues being faced by many real-world applications in a broad range of areas such as smart supply chains, knowledge management, intelligent inventory management, IoT adoption in manufacturing management, and more; Intelligent techniques for sustainable practices in industrial waste management. Audience The book will be used by researchers, industry engineers, and data scientists/AI specialists working in industrial engineering, mechanical engineering, production engineering, manufacturing engineering, and operations and supply chain management. The book will also be valuable to the service sector industry, such as logistics and those implementing smart cities. |
| data center infrastructure management: Kerala PSC Exam PDF-Junior Manager (Information Management) Exam-Computer Science Subject PDF eBook Chandresh Agrawal, nandini books, 2024-06-21 SGN.The Kerala PSC Junior Manager (Information Management) Exam-Computer Science Subject PDF eBook Covers CS-IT Objective Questions Asked In Various Competitive Exams With Answers. |
| data center infrastructure management: Signal , 2012 |
| data center infrastructure management: SCCL MT Exam-Singareni Collieries Company Ltd Management Trainee (Systems) Exam-Computer Science & IT Subject Practice Sets eBook Chandresh Agrawal, Nandini Books, 2024-06-15 SGN. The SCCL MT Exam-Singareni Collieries Company Ltd Management Trainee (Systems) Exam-Computer Science & IT Subject Practice Sets eBook Covers Objective Questions With Answers. |
| data center infrastructure management: 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: IT Sustainability for Business Advantage Brian Moore, 2013-11-11 IT Sustainability for Business Advantage speaks to modern managers in all functions as well as to IT professionals. Implementing an effective IT sustainability strategy is essential for organizations pursuing sustainability as a means of business advantage and this book shows how to do it. The critical first step is getting clear about the ends of the IT sustainability program--the mission must be to further the company's sustainability objectives and strategic intents should include: 1) Making IT operations as sustainable as possible; 2) Partnering with other functions to leverage IT in making their business processes more sustainable and to grow the business; and 3) Building a culture of sustainability within the IT organization. The next step is to implement strategies to achieve these ends and the book explores the ways and means of doing this. These include industry best practices on how to apply the processes, techniques, and technologies related to Green IT and IT for Sustainability (ITfS). They also include techniques for change management and building social capital. |
| data center infrastructure management: 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: Cloud Computing Demystified for Aspiring Professionals David Santana, Amit Malik, 2023-03-24 Gain in-depth knowledge of cloud computing concepts and apply them to accelerate your career in any cloud engineering role Key FeaturesGet to grips with key cloud computing concepts, cloud service providers, and best practicesExplore demonstrations for cloud computing models using real-world examplesAdopt the self-paced learning strategy and get industry-ready for cloud engineering rolesPurchase of the print or Kindle book includes a free eBook in the PDF formatBook Description If you want to upskill yourself in cloud computing domains to thrive in the IT industry, then you've come to the right place. Cloud Computing Demystified for Aspiring Professionals helps you to master cloud computing essentials and important technologies offered by cloud service providers needed to succeed in a cloud-centric job role. This book begins with an overview of transformation from traditional to modern-day cloud computing infrastructure, and various types and models of cloud computing. You'll learn how to implement secure virtual networks, virtual machines, and data warehouse resources including data lake services used in big data analytics — as well as when to use SQL and NoSQL databases and how to build microservices using multi-cloud Kubernetes services across AWS, Microsoft Azure, and Google Cloud. You'll also get step-by-step demonstrations of infrastructure, platform, and software cloud services and optimization recommendations derived from certified industry experts using hands-on tutorials, self-assessment questions, and real-world case studies. By the end of this book, you'll be ready to successfully implement cloud computing standardized concepts, services, and best practices in your workplace. What you will learnGain insights into cloud computing essentials and public, private, hybrid, and multi-cloud deployment modelsExplore core cloud computing services such as IaaS, PaaS, and SaaSDiscover major public cloud providers such as AWS, Microsoft, and GoogleUnlock the power of IaaS, PaaS, and SaaS with AWS, Azure, and GCPCreate secure networks, containers, Kubernetes, compute, databases, and API services on cloudDevelop industry-based cloud solutions using real-world examplesGet recommendations on exam preparation for cloud accreditationsWho this book is for The book is for aspiring cloud engineers, as well as college graduates, IT enthusiasts, and beginner-level cloud practitioners looking to get into cloud computing or transforming their career and upskilling themselves in a cloud engineering role in any industry. A basic understanding of networking, database development, and data analysis concepts and experience in programming languages such as Python and C# will help you get the most out of this book. |
| data center infrastructure management: Proceedings of the 6th International Conference on Economic Management and Green Development Xiaolong Li, Chunhui Yuan, John Kent, 2023-06-27 This proceedings book, together with the conference, looks forward to spark inspirations and promote collaborations. International Conference on Economic Management and Green Development (ICEMGD) is an annual conference aiming at bringing together researchers from the fields of economics, business management, public administration, and green development for the sharing of research methods and theoretical breakthroughs. The proceedings consist of papers accepted by the 6th ICEMGD, which are carefully selected and reviewed by professional reviewers from corresponding research fields and the editing committee of the conference. The papers have a diverse range of topics situated at the intersecting field of economic management, public administration, and green development. ICEMGD is working to provide a platform for international participants from fields like macro- and microeconomics, international economics, finance, agricultural economics, health economics, business management and marketing strategies, regional development studies, social governance, and sustainable development. The proceedings will be of interest to researchers, academics, professionals, and policy makers in the field of economic management, public administration, and development studies. |
| data center infrastructure management: Development Practice of Digital Business Environment in China Xiaolong Li, Jiyin Li, Chunhui Yuan, Songliang Guo, Zhen Wang, 2022-02-10 This book gives an in-depth research on digital business environment as well as its indicators analysis by means of collecting huge data and cases in China. Additionally, it’s on the first try to apply bibliometric method to business environment literature review. The main contents of this book contain the research on the connotation and evaluation indicator system of digital business environment, and a series of excellent practices in improving the business environment in China in the aspects of digital infrastructure construction, digital market order, digital security, digital government application, digital literacy and innovation, etc. The expected readers are scholars who study business environment-related topics, groups interested in digital business environment, businessmen and officials. The most significant features of this book lie in its novel topics and detailed cases, which can help readers to have a more comprehensive and in-depth understanding of China's digital business environment construction. |
What is data center infrastructure managemen…
Mar 4, 2025 · Data center infrastructure management (DCIM) is the convergence of IT infrastructure, operations and …
What Is DCIM? How It Optimizes Data Center Oper…
Nov 2, 2021 · Data center infrastructure management refers to the comprehensive approach of …
DCIM 101: Navigating the Backbone of Modern Data Ce…
Feb 29, 2024 · Learn how DCIM optimizes operations, enhances efficiency, and aligns with ITIL …
What is Data Center Management? - IBM
Jun 21, 2023 · Data center managers can use a data center infrastructure management (DCIM) solution to …
What is data center infrastructure management (DCIM)?
Mar 4, 2025 · Data center infrastructure management (DCIM) is the convergence of IT infrastructure, operations and building facilities functions within an organization.
What Is DCIM? How It Optimizes Data Center Operations - G2
Nov 2, 2021 · Data center infrastructure management refers to the comprehensive approach of managing enterprise-class data centers and their infrastructure. It includes processes, tools, …
DCIM 101: Navigating the Backbone of Modern Data Center ...
Feb 29, 2024 · Learn how DCIM optimizes operations, enhances efficiency, and aligns with ITIL standards for modern data centers.
What is Data Center Management? - IBM
Jun 21, 2023 · Data center managers can use a data center infrastructure management (DCIM) solution to simplify their management tasks and achieve IT performance optimization.
