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Book Description

Data centers consume roughly 1% of the total electricity demand, while ICT as a whole consumes around 10%. Demand is growing exponentially and, left unchecked, will grow to an estimated increase of 20% or more by 2030.

This book covers the energy consumption and minimization of the different data center components when running real workloads, taking into account the types of instructions executed by the servers. It presents the different air- and liquid-cooled technologies for servers and data centers with some real examples, including waste heat reuse through adsorption chillers, as well as the hardware and software used to measure, model and control energy. It computes and compares the Power Usage Effectiveness and the Total Cost of Ownership of new and existing data centers with different cooling designs, including free cooling and waste heat reuse leading to the Energy Reuse Effectiveness. The book concludes by demonstrating how a well-designed data center reusing waste heat to produce chilled water can reduce energy consumption by roughly 50%, and how renewable energy can be used to create net-zero energy data centers.

Table of Contents

  1. Cover
  2. Introduction
  3. 1 Systems in Data Centers
    1. 1.1. Servers
    2. 1.2. Storage arrays
    3. 1.3. Data center networking
    4. 1.4. Components
  4. 2 Cooling Servers
    1. 2.1. Evolution of cooling for mainframe, midrange and distributed computers from the 1960s to 1990s
    2. 2.2. Emergence of cooling for scale out computers from 1990s to 2010s
    3. 2.3. Chassis and rack cooling methods
    4. 2.4. Metrics considered for cooling
    5. 2.5. Material used for cooling
    6. 2.6. System layout and cooling air flow optimization
  5. 3 Cooling the Data Center
    1. 3.1. System cooling technologies used
    2. 3.2. Air-cooled data center
    3. 3.3. ASHRAE data center cooling standards
    4. 3.4. Liquid-cooled racks
    5. 3.5. Liquid-cooled servers
    6. 3.6. Free cooling
    7. 3.7. Waste heat reuse
  6. 4 Power Consumption of Servers and Workloads
    1. 4.1. Trends in power consumption for processors
    2. 4.2. Trends in power consumption for GPUs
    3. 4.3. ACPI states
    4. 4.4. The power equation
  7. 5 Power and Performance of Workloads
    1. 5.1. Power and performance of workloads
    2. 5.2. Power, thermal and performance on air-cooled servers with Intel Xeon
    3. 5.3. Power, thermal and performance on water-cooled servers with Intel Xeon
    4. 5.4. Conclusions on the impact of cooling on power and performance
  8. 6 Monitoring and Controlling Power and Performance of Servers and Data Centers
    1. 6.1. Monitoring power and performance of servers
    2. 6.2. Modeling power and performance of servers
    3. 6.3. Software to optimize power and energy of servers
    4. 6.4. Monitoring, controlling and optimizing the data center
  9. 7 PUE, ERE and TCO of Various Cooling Solutions
    1. 7.1. Power usage effectiveness, energy reuse effectiveness and total cost of ownership
    2. 7.2. Examples of data centers PUE and EREs
    3. 7.3. Impact of cooling on TCO with no waste heat reuse
    4. 7.4. Emerging technologies and their impact on TCO
  10. Conclusion
  11. References
  12. Index
  13. End User License Agreement
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