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| data center case study: Cases on Applying Knowledge Economy Principles for Economic Growth in Developing Nations Piaggesi, Danilo, Landazuri, Helena, Jia, Bo, 2022-01-21 The knowledge economy is the added non-monetary value that society accrues from increased access to data, information, and knowledge in the new, globally connected world. ICT and technology innovation are paving the way for significant economic development opportunities for countries that have embarked in a concerted effort to model their economies according to the knowledge economy principles. Among developing countries, knowledge economy principles are being applied mostly in a sector-wise level, where government intervention with enabling policies coupled with joint efforts by the private sector, academia, and other actors are resulting in durable and sustainable benefits. Cases on Applying Knowledge Economy Principles for Economic Growth in Developing Nations examines cases from developing countries in order to derive an adapted model of knowledge economy that could be applied to developing country conditions. This book contributes to the change of paradigm on how to help developing countries in advancing to better conditions by using ICT-related technology. Covering topics such as learning organizations, green technology, and sustainable organizations, this is a dynamic resource for emerging economies, researchers, students, professors, academicians, and multilateral organizations helping developing countries. |
| data center case study: High Density Data Centers , 2008 Data centers and telecommunications rooms that house datacom equipment are becoming increasingly more difficult to adequately cool. This is a result of IT manufacturers increasing datacom performance year after year at the cost of increased heat dissipation. Even though performance has, in general, increased at a more rapid rate than power, the power required and the resulting heat dissipated by the datacom equipment has increased to a level that is putting a strain on data centers.In the struggle to improve the thermal management characteristics of data centers, it is sometimes important to assess today's data center designs. The objective of this book is to provide a series of case studies of high density data centers and a range of ventilation schemes that demonstrate how loads can be cooled using a number of different approaches. |
| data center case study: Smart Buildings Digitalization O. V. Gnana Swathika, K. Karthikeyan, Sanjeevikumar Padmanaban, 2024-10-07 Nonlinear controller for electric vehicles in smart buildings / Kanimozhi.G, School of Electrical Eng., VIT Chennai, O.V. Gnana Swathika, School of Electrical Eng., VIT Chennai, Xiao-Zhi Gao, University of Eastern Finland, Finland -- IoT based smart hand sanitizer dispenser (Covid 19) / Sohan Deshpande, School of Electronics Engineering, Vellore Institute of Technology, Aakash Aggarwal, School of Electronics Engineering, Vellore Institute of Technology, Abraham Sudharson Ponraj, School of Electronics Engineering, Vellore Institute of Technology, J Christy Jackson, School of Computer Science and Engineering, Vellore Institute of Technology. |
| data center case study: Cloud Computing Venkata Josyula, Malcolm Orr, Greg Page, 2012 The complete guide to provisioning and managing cloud-based Infrastructure as a Service (IaaS) data center solutions Cloud computing will revolutionize the way IT resources are deployed, configured, and managed for years to come. Service providers and customers each stand to realize tremendous value from this paradigm shift--if they can take advantage of it. Cloud Computing brings together the realistic, start-to-finish guidance they need to plan, implement, and manage cloud solution architectures for tomorrow's virtualized data centers. It introduces cloud newcomers to essential concepts, and offers experienced operations professionals detailed guidance on delivering Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). This book's replicable solutions and fully-tested best practices will help enterprises, service providers, consultants, and Cisco partners meet the challenge of provisioning end-to-end cloud infrastructures. Drawing on extensive experience working with leading cloud vendors and integrators, the authors present detailed operations workflow examples, proven techniques for operating cloud-based network, compute, and storage infrastructure; a comprehensive management reference architecture; and a complete case study demonstrating rapid, lower-cost solutions design. Cloud Computing will be an indispensable resource for all network/IT professionals and managers involved with planning, implementing, or managing the next generation of cloud computing services. Venkata (Josh) Josyula, Ph.D., CCIE(R) No. 13518 is a Distinguished Services Engineer in Cisco Services Technology Group (CSTG) and advises Cisco customers on OSS/BSS architecture and solutions. Malcolm Orr, Solutions Architect for Cisco's Services Technology Solutions, advises telecoms and enterprise clients on architecting, building, and operating OSS/BSS and cloud management stacks. He is Cisco's lead architect for several Tier 1 public cloud projects. Greg Page has spent the last eleven years with Cisco in technical consulting roles relating to data center architecture/technology and service provider security. He is now exclusively focused on developing cloud/IaaS solutions with service providers and systems integrator partners. - Review the key concepts needed to successfully deploy clouds and cloud-based services - Transition common enterprise design patterns and use cases to the cloud - Master architectural principles and infrastructure designs for real-time managed IT services - Understand the Cisco approach to cloud-related technologies, systems, and services - Develop a cloud management architecture using ITIL, TMF, and ITU-TMN standards - Implement best practices for cloud service provisioning, activation, and management - Automate cloud infrastructure to simplify service delivery, monitoring, and assurance - Choose and implement the right billing/chargeback approaches for your business - Design and build IaaS services, from start to finish - Manage the unique capacity challenges associated with sporadic, real-time demand - Provide a consistent and optimal cloud user experience This book is part of the Networking Technology Series from Cisco Press(R), which offers networking professionals valuable information for constructing efficient networks, understanding new technologies, and building successful careers. Category: Cloud Computing Covers: Virtualized Data Centers |
| data center case study: 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 case study: QOS-Enabled Networks Miguel Barreiros, Peter Lundqvist, 2016-02-08 Written by two experts in the field who deal with QOS predicaments every day and now in this 2nd edition give special attention to the realm of Data Centers, QoS Enabled Networks: Tools and Foundations, 2nd Edition provides a lucid understanding of modern QOS theory mechanisms in packet networks and how to apply them in practice. This book is focuses on the tools and foundations of QoS providing the knowledge to understand what benefits QOS offers and what can be built on top of it. |
| data center case study: 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 case study: 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 case study: 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 case study: Data Center Handbook Hwaiyu Geng, 2014-12-01 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 case study: Interop John Palfrey, Urs Gasser, 2012-06-05 In Interop, technology experts John Palfrey and Urs Gasser explore the immense importance of interoperability -- the standardization and integration of technology -- and show how this simple principle will hold the key to our success in the coming decades and beyond. The practice of standardization has been facilitating innovation and economic growth for centuries. The standardization of the railroad gauge revolutionized the flow of commodities, the standardization of money revolutionized debt markets and simplified trade, and the standardization of credit networks has allowed for the purchase of goods using money deposited in a bank half a world away. These advancements did not eradicate the different systems they affected; instead, each system has been transformed so that it can interoperate with systems all over the world, while still preserving local diversity. As Palfrey and Gasser show, interoperability is a critical aspect of any successful system -- and now it is more important than ever. Today we are confronted with challenges that affect us on a global scale: the financial crisis, the quest for sustainable energy, and the need to reform health care systems and improve global disaster response systems. The successful flow of information across systems is crucial if we are to solve these problems, but we must also learn to manage the vast degree of interconnection inherent in each system involved. Interoperability offers a number of solutions to these global challenges, but Palfrey and Gasser also consider its potential negative effects, especially with respect to privacy, security, and co-dependence of states; indeed, interoperability has already sparked debates about document data formats, digital music, and how to create successful yet safe cloud computing. Interop demonstrates that, in order to get the most out of interoperability while minimizing its risks, we will need to fundamentally revisit our understanding of how it works, and how it can allow for improvements in each of its constituent parts. In Interop, Palfrey and Gasser argue that there needs to be a nuanced, stable theory of interoperability -- one that still generates efficiencies, but which also ensures a sustainable mode of interconnection. Pointing the way forward for the new information economy, Interop provides valuable insights into how technological integration and innovation can flourish in the twenty-first century. |
| data center case study: 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 case study: BUILDING a MODERN DATA CENTER Principles and Strategies of Design Scott D. Lowe, 2016-01-10 |
| data center case study: The Datacenter as a Computer Luiz André Barroso, Urs Hölzle, Parthasarathy Ranganathan, 2022-06-01 This book describes warehouse-scale computers (WSCs), the computing platforms that power cloud computing and all the great web services we use every day. It discusses how these new systems treat the datacenter itself as one massive computer designed at warehouse scale, with hardware and software working in concert to deliver good levels of internet service performance. The book details the architecture of WSCs and covers the main factors influencing their design, operation, and cost structure, and the characteristics of their software base. Each chapter contains multiple real-world examples, including detailed case studies and previously unpublished details of the infrastructure used to power Google's online services. Targeted at the architects and programmers of today's WSCs, this book provides a great foundation for those looking to innovate in this fascinating and important area, but the material will also be broadly interesting to those who just want to understand the infrastructure powering the internet. The third edition reflects four years of advancements since the previous edition and nearly doubles the number of pictures and figures. New topics range from additional workloads like video streaming, machine learning, and public cloud to specialized silicon accelerators, storage and network building blocks, and a revised discussion of data center power and cooling, and uptime. Further discussions of emerging trends and opportunities ensure that this revised edition will remain an essential resource for educators and professionals working on the next generation of WSCs. |
| data center case study: Thermal Guidelines for Data Processing Environments ASHRAE (Firm), 2012 There is often a mismatch of IT equipment environmental requirements with adjacent equipment requirements or with facility operating conditions and therefore a strong need to find common solutions and standard practices that facilitate IT equipment interchangeability while preserving industry innovation. Thermal Guidelines for Data Processing Environments provides a framework for improved alignment between IT equipment hardware manufacturers (including manufacturers of computers, servers, and storage products), data center designers, and facility operators and managers. This guide covers five primary areas: equipment operating environment guidelines for air-cooled equipment (six classes are defined), environmental guidelines for liquid-cooled equipment (five classes are defined), facility temperature and humidity measurement (to evaluate data center health), equipment placement and airflow patterns (a hot-aisle/cold-aisle layout is recommended), and equipment manufacturers' heat load and airflow requirements reporting. In reaction to the industry trend of increased energy efficiency for data center operation, this third edition of Thermal Guidelines for Data Processing Environments provides groundbreaking, vendor-neutral information that will empower data center designers, operators, and managers to better determine the impact of varying design and operation parameters. This book is the first in the ASHRAE Datacom Series, authored by ASHRAE Technical Committee 9.9, Mission Critical Facilities, Technology Spaces and Electronic Equipment. This series provides comprehensive treatment of datacom cooling and related subjects. |
| data center case study: Smart Buildings Digitalization O.V. Gnana Swathika, K. Karthikeyan, Sanjeevikumar Padmanaban, 2022-02-23 This book explains the concept of data centers, including data collection, public parking systems, smart metering, and sanitizer dispensers. Electric urban transport systems and effective electric distribution in smart cities are discussed as well. The extensive role of power electronics in smart building applications, such as electric vehicles, rooftop terracing, and renewable energy integration, is included. Case studies on automation in smart homes and commercial and official buildings are elaborated. This book describes the complete implication of smart buildings via industrial, commercial, and community platforms. FEATURES Systematically defines energy-efficient buildings employing power consumption optimization techniques with the inclusion of renewable energy sources Covers data centers and cybersecurity with excellent data storage features for smart buildings Includes systematic and detailed strategies for building air-conditioning and lighting Details smart building security propulsion This book is aimed at graduate students, researchers, and professionals in building systems engineering, architectural engineering, and electrical engineering. |
| data center case study: Building Management Systems (BMS) for Data Centers Charles Nehme, Data centers, the backbone of the modern digital world, play a critical role in storing, processing, and distributing vast amounts of data. These highly sophisticated facilities demand meticulous monitoring and control to ensure optimal performance, reliability, and energy efficiency. Building Management Systems (BMS) have emerged as indispensable tools for managing data center operations, enabling efficient control of critical infrastructure systems such as cooling, power, security, and fire protection. This book delves into the world of BMS for data centers, providing a comprehensive guide for understanding, implementing, and optimizing these vital systems. It begins by introducing the fundamental concepts of data center infrastructure, highlighting the importance of BMS in ensuring data center uptime and performance. Subsequent chapters explore the architecture, components, and functionalities of BMS, covering topics such as monitoring and control of cooling and HVAC systems, power distribution and UPS management, security and fire prevention, data collection and trending, integration and automation, and deployment and maintenance considerations. Throughout the book, real-world examples and case studies are interwoven to demonstrate the practical application of BMS in various data center scenarios. These examples showcase the tangible benefits of BMS implementation, including improved energy efficiency, reduced operational costs, enhanced security, and enhanced overall data center reliability. As the data center industry continues to evolve, embracing emerging technologies such as artificial intelligence (AI) and machine learning (ML), the role of BMS is poised to expand further. This book concludes by exploring the future trends in BMS for data centers, highlighting the potential of AI-powered BMS, IoT integration, cloud-based BMS, and remote management capabilities. Whether you are a data center engineer, IT professional, facility manager, or simply curious about the intricacies of data center operations, this book will provide you with a valuable resource for understanding and harnessing the power of BMS to optimize data center performance and efficiency. |
| data center case study: Data Center Automation: The Future of Operations Charles Nehme, In the rapidly evolving world of technology, data centers stand as the unsung heroes of our digital age. They are the powerhouses that drive our global internet services, cloud computing, and enterprise operations. As businesses and societies become increasingly reliant on these technological infrastructures, the need for efficient, scalable, and resilient operations becomes more pressing. Enter the realm of data center automation—a transformative approach that promises to redefine how we manage and optimize these vital resources. Welcome to Data Center Automation: The Future of Operations. This book is designed to be your comprehensive guide to understanding and implementing automation strategies in data centers. Whether you are a seasoned IT professional, a data center manager, a systems architect, or simply someone with a keen interest in the future of technology, this book aims to provide you with insights, practical knowledge, and forward-looking perspectives on the evolution of data center operations. The Genesis of Automation The concept of automation is not new, but its application to data centers represents a frontier of incredible potential. The origins of data center automation can be traced back to early attempts at streamlining data center operations through basic scripts and manual processes. However, as technology has advanced, so too have the tools and strategies for automation. Today, we stand on the cusp of a new era where sophisticated automation techniques promise to revolutionize every aspect of data center management—from provisioning and monitoring to troubleshooting and scaling. Why Automation Matters The driving force behind data center automation is the need for efficiency and agility. Traditional data center management is often fraught with challenges: manual processes are prone to errors, scaling operations is a complex and resource-intensive task, and maintaining performance while reducing costs is a constant balancing act. Automation addresses these challenges head-on by introducing mechanisms for streamlined operations, predictive maintenance, and dynamic resource allocation. In this book, we will explore how these technologies work and the tangible benefits they offer. What You Will Discover In the chapters that follow, you will embark on a journey through the landscape of data center automation. We will start by exploring the fundamental concepts and technologies that underpin automation strategies. You will learn about the latest innovations in automation tools, including artificial intelligence, machine learning, and orchestration platforms. We will also delve into real-world case studies, providing insights into how leading organizations are harnessing these technologies to achieve their operational goals. The book is structured to cater to a broad audience. For those new to the field, we offer clear explanations of core concepts and practical advice for getting started with automation. For experienced professionals, we provide advanced techniques, strategic frameworks, and deep dives into complex topics that will help you stay at the forefront of the industry. A Call to Action As we look to the future of data center operations, it is clear that automation will play a pivotal role in shaping that future. This book is not just a collection of knowledge; it is an invitation to engage with the transformative potential of automation. I encourage you to explore the ideas presented, challenge existing paradigms, and envision new possibilities for your own data center environments. Thank you for embarking on this journey with me. I hope this book serves as both a valuable resource and a source of inspiration as you explore the exciting possibilities of data center automation. Let us step into the future of operations together. |
| data center case study: Data Center Virtualization Fundamentals Gustavo Alessandro Andrade Santana, 2014 Data Center Virtualization Fundamentals For many IT organizations, today''s greatest challenge is to drive more value, efficiency, and utilization from data centers. Virtualization is the best way to meet this challenge. Data Center Virtualization Fundamentals brings together the comprehensive knowledge Cisco professionals need to apply virtualization throughout their data center environments. Leading data center expert Gustavo A. A. Santana thoroughly explores all components of an end-to-end data center virtualization solution, including networking, storage, servers, operating systems, application optimization, and security. Rather than focusing on a single product or technology, he explores product capabilities as interoperable design tools that can be combined and integrated with other solutions, including VMware vSphere. With the author''s guidance, you''ll learn how to define and implement highly-efficient architectures for new, expanded, or retrofit data center projects. By doing so, you can deliver agile application provisioning without purchasing unnecessary infrastructure, and establish a strong foundation for new cloud computing and IT-as-a-service initiatives. Throughout, Santana illuminates key theoretical concepts through realistic use cases, real-world designs, illustrative configuration examples, and verification outputs. Appendixes provide valuable reference information, including relevant Cisco data center products and CLI principles for IOS and NX-OS. With this approach, Data Center Virtualization Fundamentals will be an indispensable resource for anyone preparing for the CCNA Data Center, CCNP Data Center, or CCIE Data Center certification exams. Gustavo A. A. Santana, CCIE® No. 8806, is a Cisco Technical Solutions Architect working in enterprise and service provider data center projects that require deep integration across technology areas such as networking, application optimization, storage, and servers. He has more than 15 years of data center experience, and has led and coordinated a team of specialized Cisco engineers in Brazil. He holds two CCIE certifications (Routing & Switching and Storage Networking), and is a VMware Certified Professional (VCP) and SNIA Certified Storage Networking Expert (SCSN-E). A frequent speaker at Cisco and data center industry events, he blogs on data center virtualization at gustavoaasantana.net. Learn how virtualization can transform and improve traditional data center network topologies Understand the key characteristics and value of each data center virtualization technology Walk through key decisions, and transform choices into architecture Smoothly migrate existing data centers toward greater virtualization Burst silos that have traditionally made data centers inefficient Master foundational technologies such as VLANs, VRF, and virtual contexts Use virtual PortChannel and FabricPath to overcome the limits of STP Optimize cabling and network management with fabric extender (FEX) virtualized chassis Extend Layer 2 domains to distant data center sites using MPLS and Overlay Transport Virtualization (OTV) Use VSANs to overcome Fibre Channel fabric challenges Improve SAN data protection, environment isolation, and scalability Consolidate I/O through Data Center Bridging and FCoE Use virtualization to radically simplify server environments Create server profiles that streamline bare metal server provisioning Transcend the rack through virtualized networking based on Nexus 1000V and VM-FEX Leverage opportunities to deploy virtual network services more efficiently Evolve data center virtualization toward full-fledged private clouds -Reviews - The variety of material that Gustavo covers in this work would appeal to anyone responsible for Data Centers today. His grasp of virtualization technologies and ability to relate it in both technical and non-technical terms makes for compelling reading. This is not your ordinary tech manual. Through use of relatable visual cues, Gustavo provides information that is easily recalled on the subject of virtualization, reaching across Subject Matter Expertise domains. Whether you consider yourself well-versed or a novice on the topic, working in large or small environments, this work will provide a clear understanding of the diverse subject of virtualization. -- Bill Dufresne, CCIE 4375, Distinguished Systems Engineer, Cisco (Americas) ..this book is an essential reference and will be valuable asset for potential candidates pursuing their Cisco Data Center certifications. I am confident that in reading this book, individuals will inevitably gain extensive knowledge and hands-on experience during their certification preparations. If you''re looking for a truly comprehensive guide to virtualization, this is the one! -- Yusuf Bhaiji, Senior Manager, Expert Certifications (CCIE, CCDE, CCAr), Learning@Cisco When one first looks at those classic Cisco Data Center blueprints, it is very common to become distracted with the overwhelming number of pieces and linkages. By creating a solid theoretical foundation and providing rich sets of companion examples to illustrate each concept, Gustavo''s book brings hope back to IT Professionals from different areas of expertise. Apparently complex topics are demystified and the insertion of products, mechanisms, protocols and technologies in the overall Data Center Architecture is clearly explained, thus enabling you to achieve robust designs and successful deployments. A must read... Definitely! -- Alexandre M. S. P. Moraes, Consulting Systems Engineer -- Author of Cisco Firewalls |
| data center case study: Data Center Disaster Recovery: Strategies and Solutions Charles Nehme, In an increasingly digital world, the continuous availability of data and services is critical to the success of businesses and organizations. As data centers form the backbone of these operations, ensuring their resilience against disasters is paramount. Whether it's a natural calamity like an earthquake or flood, a cyberattack, or a simple human error, the impact of downtime can be catastrophic, resulting in significant financial loss, reputational damage, and operational disruption. Data Center Disaster Recovery: Strategies and Solutions is a comprehensive guide designed to equip IT professionals, managers, and executives with the knowledge and tools necessary to develop, implement, and maintain robust disaster recovery (DR) plans for data centers. This book aims to demystify the complex world of disaster recovery by breaking down its various components into manageable, actionable strategies and solutions. Throughout my career in IT and disaster recovery, I have witnessed firsthand the devastating effects of inadequate preparation and the remarkable resilience of well-prepared organizations. These experiences have fueled my passion for helping others navigate the intricate landscape of disaster recovery. This book distills years of knowledge, lessons learned, and best practices into a single resource, making it accessible to both seasoned professionals and those new to the field. The structure of this book reflects a logical progression from understanding the basics of disaster recovery to developing and implementing a comprehensive DR plan, followed by ongoing management and adaptation to future trends. Real-world case studies and practical examples are included to provide context and illustrate how the principles discussed can be applied in various industries. In Part I: Introduction to Data Center Disaster Recovery, we lay the groundwork by exploring the fundamental concepts of disaster recovery and the essential components of data centers. This section also delves into risk assessment and business impact analysis, critical steps in identifying and prioritizing potential threats. Part II: Developing a Disaster Recovery Plan focuses on the practical aspects of creating a DR plan, including infrastructure design, data backup strategies, and emergency response procedures. Detailed guidance is provided to ensure that readers can develop a comprehensive and effective plan tailored to their specific needs. Part III: Implementing and Managing Disaster Recovery Solutions covers the implementation of technology solutions, the importance of regular testing, and compliance with legal and regulatory requirements. This section emphasizes the need for continuous improvement and adaptation in a rapidly evolving technological landscape. In Part IV: Case Studies and Best Practices, we share insights from real-world scenarios across different industries, highlighting successful strategies and common pitfalls. This section aims to provide readers with practical takeaways that can be applied to their own organizations. Finally, Part V: Future Trends and Conclusion looks ahead to the future of disaster recovery, examining emerging technologies and trends that will shape the field in the coming years. We conclude with final recommendations and resources for further learning, encouraging readers to stay informed and proactive in their disaster recovery efforts. I hope this book serves as a valuable resource, empowering you to build resilient data centers capable of withstanding and recovering from any disaster. Your journey towards robust disaster recovery begins here, and I am honored to be a part of it. |
| data center case study: AWS Certified Data Center Technician Cybellium, Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com |
| data center case study: The Greening of IT John Lamb, 2009-03-30 Ho> For CEOs, CIOs, CFOs, and IT leaders: The green IT business case and best practices for making it happen Timely help for companies facing rising energy costs, new government rules, and growing public concern Powerful new insights from IBM’s breakthrough $1 billion green computing initiative Chances are your enterprise IT organization has a significant carbon footprint. In an era of unpredictable energy costs, reducing energy usage throughout your data centers and IT infrastructure represents a powerful cost-cutting opportunity. Now, a top green IT expert shows business and IT leaders how to drive powerful business value by improving IT’s environmental performance. Drawing on leading-edge experience, John Lamb helps you realistically assess the business case for green IT, set priorities, and overcome the internal and external challenges to making it work. He offers proven solutions for issues ranging from organizational obstacles to executive motivation and discusses crucial issues ranging from utility rate incentives to metrics. Along the way, you’ll discover energy-saving opportunities–from virtualization and consolidation to cloud and grid computing–and solutions that will improve business flexibility as they reduce environmental impact. Lamb presents case studies, checklists, and more–all the practical guidance you need to drive maximum bottom-line value from your green IT initiative. |
| data center case study: AI Applications for Clean Energy and Sustainability Riswandi, Budi Agus, Singh, Bhupinder, Kaunert, Christian, Vig, Komal, 2024-08-16 The global demand for clean energy solutions the urgency of addressing climate change continue to intensify, and as such, the need for innovative approaches becomes increasingly paramount. However, navigating the complex landscape of clean energy production and sustainability presents significant challenges. Traditional methods often fall short in efficiently optimizing renewable energy systems and mitigating environmental impacts. Moreover, the integration of artificial intelligence (AI) into the energy sector remains underexplored, despite its potential to revolutionize operations and drive sustainable development. AI Applications for Clean Energy and Sustainability emerges, working to tackle these pressing issues. This comprehensive volume delves into the transformative power of AI in revolutionizing clean energy production, distribution, and management. By harnessing machine learning algorithms, data analytics, and optimization techniques, the book offers innovative solutions to enhance the efficiency, reliability, and scalability of renewable energy systems. Through real-world case studies and practical examples, it illustrates AI's potential to optimize energy infrastructure, monitor marine ecosystems, and predict climate change impacts, thereby paving the way for a more sustainable future. |
| data center case study: End-to-end QoS Network Design Tim Szigeti, Christina Hattingh, Robert Barton, Kenneth Briley, 2014 This authoritative guide to deploying, managing, and optimizing QoS with Cisco technologies has been thoroughly revamped to reflect the newest applications, best practices, hardware, software, and tools for modern networks. This new edition focuses on complex traffic mixes with increased usage of mobile devices, wireless network access, advanced communications, and video. It reflects the growing heterogeneity of video traffic, including passive streaming video, interactive video, and immersive videoconferences. It also addresses shifting bandwidth constraints and congestion points; improved hardware, software, and tools; and emerging QoS applications in network security. The authors first introduce QoS technologies in high-to-mid-level technical detail, including protocols, tools, and relevant standards. They examine new QoS demands and requirements, identify reasons to re-evaluate current QoS designs, and present new strategic design recommendations. Next, drawing on extensive experience, they offer deep technical detail on campus wired and wireless QoS design; next-generation wiring closets; QoS design for data centers, Internet edge, WAN edge, and branches; QoS for IPsec VPNs, and more. |
| data center case study: Free Cooling: A Sustainable Solution for Building Climate Control Charles Nehme, Free cooling ventilation is a process of using outside air to cool a building without the use of a mechanical refrigeration system. It is a very energy-efficient and environmentally friendly way to cool a building, especially in climates with cool winters and moderate summers. There are two main types of free cooling ventilation: direct and indirect. Direct free cooling ventilation: Direct free cooling ventilation systems pass outside air directly over the cooling coil of a chiller or air handling unit (AHU). This is the simplest and most efficient type of free cooling ventilation system, but it is only suitable for climates where the outside temperature is consistently cooler than the required chilled water temperature. Indirect free cooling ventilation: Indirect free cooling ventilation systems use a heat exchanger to transfer heat from the chilled water loop to the outside air. This type of free cooling ventilation system is more expensive than direct free cooling ventilation, but it can be used in a wider range of climates. Free cooling ventilation can be used in a wide range of buildings, including commercial buildings, industrial buildings, and data centers. Here are some of the benefits of using free cooling ventilation: Energy savings: Free cooling ventilation can save a significant amount of energy, especially in climates with cool winters and moderate summers. Reduced costs: Free cooling ventilation can help to reduce the costs of operating an HVAC system by eliminating the need for mechanical refrigeration. Environmental benefits: Free cooling ventilation can help to reduce the environmental impact of an HVAC system by eliminating the need for mechanical refrigeration. If you are considering using free cooling ventilation, it is important to consult with a qualified HVAC engineer to determine if it is right for your application. Here are some tips for using free cooling ventilation: Make sure the outside air is clean and free of pollutants. Use a filter to clean the outside air before it is used for free cooling. Use a heat exchanger to protect the chilled water loop from freezing. Use a control system to automatically switch between free cooling and mechanical refrigeration depending on the outside temperature. By following these tips, you can ensure that your free cooling ventilation system operates safely and efficiently. |
| data center case study: Cloud Computing and Service Science Donald Ferguson, Víctor Méndez Muñoz, Jorge Cardoso, Markus Helfert, Claus Pahl, 2018-07-13 This book constitutes extended, revised and selected papers from the 7th Ith International Conference on Cloud Computing and Service Science, CLOSER 2017, held in Porto, Portugal, in April 2017. The 16 papers presented in this volume were carefully reviewed and selected from a total of 123 submissions. CLOSER 2017 focused on the emerging area of Cloud Computing, inspired by some latest advances that concern the infrastructure, operations and available services throughout the global network. |
| data center case study: Data Center Cooling Solutions: Harnessing Ventilation and Free Cooling for Sustainability Charles Nehme, In an increasingly digital world, data centers form the backbone of everything from business operations to personal interactions. Yet, as essential as they are, data centers are notorious for their high energy consumption and environmental impact. Traditionally, the solution to their cooling needs has been power-intensive mechanical cooling systems, but this approach has grown unsustainable as demand for data processing continues to rise. The search for efficient, cost-effective, and environmentally friendly cooling alternatives has led to the re-emergence of a straightforward yet powerful concept: ventilation-based cooling. The Ventilated Data Center: Cost-Effective Cooling with Fresh Air Systems addresses this concept from both a theoretical and practical perspective, offering insights into the design, implementation, and optimization of ventilation-based cooling systems. This book aims to provide a roadmap for data center operators, designers, and engineers looking to integrate fresh air systems in their facilities, leveraging natural airflow and free cooling techniques to achieve sustainable outcomes. The chapters ahead cover a broad range of topics, from fundamental principles and climate analysis to design considerations and equipment requirements. We explore case studies that showcase real-world successes and tackle the challenges of managing temperature and humidity with fresh air. The goal is not just to present ventilation cooling as an alternative but to illustrate its feasibility, cost benefits, and long-term sustainability in various data center environments. This book is a guide to those in pursuit of sustainable innovation, whether for a new data center or a retrofit of an existing facility. As you journey through these pages, I hope you gain the insights and confidence needed to embrace ventilation cooling and contribute to a more sustainable, energy-efficient future for data centers worldwide. Charles Nehme |
| data center case study: Principles of Performance and Reliability Modeling and Evaluation Lance Fiondella, Antonio Puliafito, 2016-04-06 This book presents the latest key research into the performance and reliability aspects of dependable fault-tolerant systems and features commentary on the fields studied by Prof. Kishor S. Trivedi during his distinguished career. Analyzing system evaluation as a fundamental tenet in the design of modern systems, this book uses performance and dependability as common measures and covers novel ideas, methods, algorithms, techniques, and tools for the in-depth study of the performance and reliability aspects of dependable fault-tolerant systems. It identifies the current challenges that designers and practitioners must face in order to ensure the reliability, availability, and performance of systems, with special focus on their dynamic behaviors and dependencies, and provides system researchers, performance analysts, and practitioners with the tools to address these challenges in their work. With contributions from Prof. Trivedi's former PhD students and collaborators, many of whom are internationally recognized experts, to honor him on the occasion of his 70th birthday, this book serves as a valuable resource for all engineering disciplines, including electrical, computer, civil, mechanical, and industrial engineering as well as production and manufacturing. |
| data center case study: 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 case study: Information Science and Applications Kuinam J. Kim, Hye-Young Kim, 2019-12-18 This book presents selected papers from the 10th International Conference on Information Science and Applications (ICISA 2019), held on December 16–18, 2019, in Seoul, Korea, and provides a snapshot of the latest issues regarding technical convergence and convergences of security technologies. It explores how information science is at the core of most current research as well as industrial and commercial activities. The respective chapters cover a broad range of topics, including ubiquitous computing, networks and information systems, multimedia and visualization, middleware and operating systems, security and privacy, data mining and artificial intelligence, software engineering and web technology, as well as applications and problems related to technology convergence, which are reviewed and illustrated with the aid of case studies. Researchers in academia, industry, and at institutes focusing on information science and technology will gain a deeper understanding of the current state of the art in information strategies and technologies for convergence security. |
| data center case study: Advanced Applications in Osmotic Computing Revathy, G., 2024-03-04 The interaction of various service models, including edge computing and cloud computing, are quickly changing to better support microservices. This intricate weave of technology and information sharing is necessary to build systems that run faster and more efficiently. The interplay between these computing methods and microservices is emerging as the field of Osmotic Computing. Experts can now embark on an intellectual journey into data-driven exploration and ingenuity with the guidance of the book, Advanced Applications in Osmotic Computing. As ethical considerations become rising concerns, the potential biases, privacy encumbrances, and equitable conundrums of osmotic computing are investigated. This book offers judicious strategies to navigate these quandaries conscientiously, adding a layer of responsibility to the discourse. Within these pages, the very fabric of understanding in IoT, Cloud, Edge, Fog, and Machine Learning is redefined, marking a pivotal shift in the paradigm of technological comprehension. This book is an epicenter for the latest evolutions in osmotic computing, unfurling unconventional methodologies that shape the trajectory of data-driven decision-making. Readers will plunge into the theoretical bedrock, simultaneously witnessing pragmatic applications that adeptly bridge the schism between the theoretical constructs and pragmatic realization. The intended audience is multifaceted, encompassing data scientists, machine learning engineers, researchers, academics, educators, students, industry practitioners, interdisciplinary experts, and technology and business leaders. |
| data center case study: Using TRILL, FabricPath, and VXLAN Sanjay Hooda, Shyam Kapadia, Padmanabhan Krishnan, 2014-01-30 Using TRILL, FabricPath, and VXLAN Designing Massively Scalable Data Centers with Overlays TRILL, FabricPath, and VXLAN overlays help you distribute data traffic far more effectively, dramatically improving utilization in even the largest data center networks. Using TRILL, FabricPath, and VXLAN is the first practical and comprehensive guide to planning and establishing these high-efficiency overlay networks. The authors begin by reviewing today’s fast-growing data center requirements, and making a strong case for overlays in the Massive Scale Data Center (MSDC). Next, they introduce each leading technology option, including FabricPath, TRILL, LISP, VXLAN, NVGRE, OTV, and Shortest Path Bridging (SPB). They also present a chapter-length introduction to IS-IS, focusing on details relevant to the control of FabricPath and TRILL networks. Building on this foundation, they offer in-depth coverage of FabricPath: its advantages, architecture, forwarding, configuration, verification, and benefits in Layer-2 networks. Through examples, they explain TRILL’s architecture, functionality, and forwarding behavior, focusing especially on data flow. They also fully address VXLAN as a solution for realizing IP-based data center fabrics, including multi-tenant cloud applications. Using TRILL, FabricPath, and VXLAN provides detailed strategies and methodologies for FabricPath, TRILL, and VXLAN deployment and migration, as well as best practices for management and troubleshooting. It also presents three detailed implementation scenarios, each reflecting realistic data center challenges. In particular, the authors show how to integrate multiple overlay technologies into a single end-to-end solution that offers exceptional flexibility, agility, and availability. Sanjay K. Hooda is principal engineer in Catalyst switching software engineering at Cisco. He has more than 15 years of network design and implementation experience in large enterprise environments, and has participated in IETF standards activities. His interests include wireless, multicast, TRILL, FabricPath, High Availability, ISSU, and IPv6. He is co-author of IPv6 for Enterprise Networks. Shyam Kapadia, Technical Leader at Cisco’s Data Center Group (DCG), was an integral part of the team that delivered the next-generation Catalyst 6500 Sup 2T (2 Terabyte) platform. Since then, he has focused on developing new solutions for data center environments. He holds a Ph.D. in computer science from USC, where his research encompassed wired, wireless, ad hoc, vehicular, and sensor networks. Padmanabhan Krishnan has more than 12 years of experience in networking and telecommunications, including 7 at Cisco. His recent experience has included providing data path solutions for TRILL in the Catalyst 6500 Sup 2T Platform using FPGA, as well as design and development of platform core infrastructure and L2 features. n Discover how overlays can address data center network problems ranging from scalability to rapid provisioning n Examine popular data center overlay examples n Learn about extensions to IS-IS for TRILL and FabricPath n Use FabricPath, TRILL, and VXLAN to simplify configuration, improve performance and availability, optimize efficiency, and limit table size n Learn about FabricPath control and data plane architecture details n Review example FabricPath configurations on Cisco Nexus 7000/6000/5000 switches n Understand TRILL concepts and architecture, including overlay header, control and data plane, and MAC address learning n Learn about VXLAN architecture details and packet forwarding n Review example VXLAN configurations on a Cisco Nexus 1000V distributed virtual switch n Implement TRILL/FabricPath networks with VXLAN to virtualized servers in an intra-data center environment n Connect multiple traditional data centers using an OTV overlay as a Layer 2 extension n Use OTV overlays to connect sites running FabricPath, TRILL, or both |
| data center case study: Data Deduplication Approaches Tin Thein Thwel, G. R. Sinha, 2020-11-25 In the age of data science, the rapidly increasing amount of data is a major concern in numerous applications of computing operations and data storage. Duplicated data or redundant data is a main challenge in the field of data science research. Data Deduplication Approaches: Concepts, Strategies, and Challenges shows readers the various methods that can be used to eliminate multiple copies of the same files as well as duplicated segments or chunks of data within the associated files. Due to ever-increasing data duplication, its deduplication has become an especially useful field of research for storage environments, in particular persistent data storage. Data Deduplication Approaches provides readers with an overview of the concepts and background of data deduplication approaches, then proceeds to demonstrate in technical detail the strategies and challenges of real-time implementations of handling big data, data science, data backup, and recovery. The book also includes future research directions, case studies, and real-world applications of data deduplication, focusing on reduced storage, backup, recovery, and reliability. - Includes data deduplication methods for a wide variety of applications - Includes concepts and implementation strategies that will help the reader to use the suggested methods - Provides a robust set of methods that will help readers to appropriately and judiciously use the suitable methods for their applications - Focuses on reduced storage, backup, recovery, and reliability, which are the most important aspects of implementing data deduplication approaches - Includes case studies |
| data center case study: Economics of Grids, Clouds, Systems, and Services Jörn Altmann, Kurt Vanmechelen, Omer F. Rana, 2013-08-30 This book constitutes the refereed proceedings of the 10th International Conference on Economics of Grids, Clouds, Systems, and Services, GECON 2013, held in Zaragoza, Spain, in September 2013.The 20 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in the following topical sections: business models, energy consumption, resource allocation, work in progress on resource allocation, work in progress on pricing, quality of service, work in progress on utility and ROI modeling. |
| data center case study: Intelligent Computing and Optimization Pandian Vasant, Mohammad Shamsul Arefin, Vladimir Panchenko, J. Joshua Thomas, Elias Munapo, Gerhard-Wilhelm Weber, Roman Rodriguez-Aguilar, 2024-01-22 This book of Springer Nature is another proof of Springer’s outstanding greatness on the lively interface of Holistic Computational Optimization, Green IoTs, Smart Modeling, and Deep Learning! It is a masterpiece of what our community of academics and experts can provide when an interconnected approach of joint, mutual, and meta-learning is supported by advanced operational research and experience of the World-Leader Springer Nature! The 6th edition of International Conference on Intelligent Computing and Optimization took place at G Hua Hin Resort & Mall on April 27–28, 2023, with tremendous support from the global research scholars across the planet. Objective is to celebrate “Research Novelty with Compassion and Wisdom” with researchers, scholars, experts, and investigators in Intelligent Computing and Optimization across the globe, to share knowledge, experience, and innovation—a marvelous opportunity for discourse and mutuality by novel research, invention, and creativity. This proceedings book of the 6th ICO’2023 is published by Springer Nature—Quality Label of Enlightenment. |
| data center case study: Software-Defined Network Frameworks Mandeep Kaur, Vishal Jain, Parma Nand, Nitin Rakesh, 2024-04-22 Software-Defined Networks (SDN) work by virtualization of the network and the Cognitive Software-Defined Network (CSDN) combines the efficiencies of SDN with cognitive learning algorithms and enhanced protocols to automatize SDN. Partial deployment of SDN along with traditional networking devices forms a Hybrid Software-Defined Network (HSDN). Software-Defined Network Frameworks: Security Issues and Use Cases consolidates the research relating to the security in SDN, CSDN, and Hybrid SDNs. The security enhancements derived from the use of various SDN frameworks and the security challenges thus introduced, are also discussed. Overall, this book explains the different architectures of SDNs and the security challenges needed for implementing them. Features: Illustrates different frameworks of SDN and their security issues in a single volume Discusses design and assessment of efficient SDN northbound/southbound interfaces Describes cognitive computing, affective computing, machine learning, and other novel tools Illustrates coupling of SDN and traditional networking – Hybrid SDN Explores services, technologies, algorithms, and methods for data analysis in CSDN The book is aimed at researchers and graduate students in software engineering, network security, computer networks, high performance computing, communications engineering, and intelligent systems. |
| data center case study: HIT or Miss for the Student Jonathan Leviss, 2019-05-31 HIT or Miss for Student: Lessons Learned from Health Information Technology Projects presents and dissects a wide variety of HIT failures so that the students can understand in each case what went wrong and why and how to avoid such problems, without focusing on the involvement of specific people, organizations, or vendors. The lessons may be applied to future and existing projects, or used to understand why a previous project failed. The student also learns how common causes of failure affect different kinds of HIT projects and with different results. Cases are organized by the type of focus (hospital care, ambulatory care, and community). Each case provides analysis by an author who was involved in the project plus the insight of an HIT expert. This book presents a model to discuss HIT failures in a safe and protected manner, providing an opportunity to focus on the lessons offered by a failed initiative as opposed to worrying about potential retribution for exposing a project as having failed. Access expert insight into key obstacles that must be overcome to leverage IT and transform healthcare. Each de-identified case study includes an analysis by a group of industry experts along with a counter analysis. Cases include a list of key words and are categorized by project (e.g. CPOE, business intelligence). Each chapter or case contains test questions and study suggestions for the student. Answers are provided as an appendix to the book. Whether you’re a graduate student in a health administration or health IT program or attending training sessions sponsored by their healthcare organization, this valuable resource for all who want to understand the dynamics of HIT projects and why some fail and others succeed. |
| data center case study: Applied Physics, System Science and Computers III Klimis Ntalianis, George Vachtsevanos, Pierre Borne, Anca Croitoru, 2019-06-27 This book reports on advanced theories and methods in three related fields of research: applied physics, system science and computers. The first part covers applied physics topics, such as lasers and accelerators; fluid dynamics, optics and spectroscopy, among others. It also addresses astrophysics, security, and medical and biological physics. The second part focuses on advances in computers, such as those in the area of social networks, games, internet of things, deep learning models and more. The third part is especially related to systems science, covering swarm intelligence, smart cities, complexity and more. Advances in and application of computer communication, artificial intelligence, data analysis, simulation and modeling are also addressed. The book offers a collection of contributions presented at the 3nd International Conference on Applied Physics, System Science and Computers (APSAC), held in Dubrovnik, Croatia on September 26–28, 2018. Besides presenting new methods, it is also intended to promote collaborations between different communities working on related topics at the interface between physics, computer science and engineering. |
| data center case study: HIT or Miss, 3rd Edition Jonathan Leviss, 2019-05-31 The third edition of HIT or Miss: Lessons Learned from Health Information Technology Projects presents and dissects a wide variety of HIT failures so that the reader can understand in each case what went wrong and why and how to avoid such problems, without focusing on the involvement of specific people, organizations, or vendors. The lessons may be applied to future and existing projects, or used to understand why a previous project failed. The reader also learns how common causes of failure affect different kinds of HIT projects and with different results. Cases are organized by the type of focus (hospital care, ambulatory care, and community). Each case provides analysis by an author who was involved in the project plus the insight of an HIT expert. This book presents a model to discuss HIT failures in a safe and protected manner, providing an opportunity to focus on the lessons offered by a failed initiative as opposed to worrying about potential retribution for exposing a project as having failed. Access expert insight into key obstacles that must be overcome to leverage IT and transform healthcare. Each de-identified case study includes an analysis by a group of industry experts along with a counter analysis. Cases include a list of key words and are categorized by project (e.g. CPOE, business intelligence). Each case study concludes with a lesson learned section. |
| data center case study: Future Urban Energy System for Buildings Xingxing Zhang, Pei Huang, Yongjun Sun, 2023-05-13 This book investigates three main characteristics of future urban energy system for buildings, including flexibility, resilience and optimization. It explores the energy flexibility by considering renewable energy integration with buildings, sector coupling, and energy trading in the local energy market. Energy resilience is addressed from aspects of future climate change, pandemic crisis, and operational uncertainties. Approaches for system design, dynamic pricing and advanced control are discussed for the optimization of urban energy system. Knowledge from this book contributes to the effective means in future urban energy paradigm to closely integrate multiple energy systems (i.e., distribution, mobility, production and storage) with different energy carriers (i.e., heat, electricity) in an optimal manner for energy use. It would facilitate the envision of next-generation urban energy systems, towards sustainability, resilience and prosperity. This book targets at a broad readership with specific experience and knowledge in energy system, transport, built environment and urban planning. As such, it will appeal to researchers, graduate students, engineers, consultants, urban scientists, investors and policymakers, with interests in energy flexibility, building/city resilience and climate neutrality. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with minimum time …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, released in …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process from …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical barriers …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
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 collected, …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
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 …
