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 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.

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.

Energy Efficient Thermal Management of Data Centers examines energy flow in today's data centers. Particular focus is given to the state-of-the-art thermal management and thermal design approaches now being implemented across the multiple length scales involved. The impact of future trends in information technology hardware, and emerging software paradigms such as cloud computing and virtualization, on thermal management are also addressed. The book explores computational and experimental characterization approaches for determining temperature and air flow patterns within data centers. Thermodynamic analyses using the second law to improve energy efficiency are introduced and used in proposing improvements in cooling methodologies. Reduced-order modeling and robust multi-objective design of next generation data centers are discussed.

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

There has never been a Data Center Guide like this. It contains 90 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need--fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about Data Center. A quick look inside of some of the subjects covered: Data center Electrical power, Data center services - Technical training services, Google Modular Data Center, Google Modular Data Center - History, Data center Green datacenters, IT energy management - Server and data center power management, Data center Environmental control, Explicit Congestion Notification Data Center TCP, Data centers - Carrier neutrality, Data center Technology infrastructure design, Data center Energy use, Data center Computational fluid dynamics (CFD) analysis, Cisco Career Certifications - Data Center, Data center services - Technical consulting services, Data center Energy efficiency, CCIE - Data Center, Data centers - Availability expectations, Data centers - Design recommendations, Green computing - Data center power, Explicit Congestion Notification - Data Center TCP, Data center Detail design, Data center Greenhouse gas emissions, Data center History, Green computing - Data center design, Data centers - Electrical engineering infrastructure design, Data centers - Technology infrastructure design, Data center Mechanical engineering infrastructure design, Data center services - Support services, Data center Network infrastructure, Data center Carrier neutrality, Utah Data Center - Purpose, Data center Data center tiers, Data centers - Conceptual design, Equinix - Europe data centers, and much more...

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.