Udvidet returret til d. 31. januar 2025

Energy Systems Design for Low-Power Computing - Rathishchandra Ramachandra Gatti - Bog

Bag om Energy Systems Design for Low-Power Computing

With the advancement in computing technologies, the need for power is also increasing. Approximately 3% of the total power consumption is spent by data centers and computing devices. This percentage will rise when more internet of things (IoT) devices are connected to the web. The handling of this data requires immense power. Energy Systems Design for Low-Power Computing disseminates the current research and the state-of-the-art technologies, topologies, standards, and techniques for the deployment of energy intelligence in edge computing, distributed computing, and centralized computing infrastructure. Covering topics such as electronic cooling, stochastic data analysis, and energy consumption, this premier reference source is an excellent resource for data center designers, VLSI designers, network developers, students and teachers of higher education, librarians, researchers, and academicians.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781668449752
  • Indbinding:
  • Paperback
  • Sideantal:
  • 420
  • Udgivet:
  • 7. marts 2023
  • Størrelse:
  • 178x23x254 mm.
  • Vægt:
  • 786 g.
  • 8-11 hverdage.
  • 11. december 2024
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Forlænget returret til d. 31. januar 2025

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Beskrivelse af Energy Systems Design for Low-Power Computing

With the advancement in computing technologies, the need for power is also increasing. Approximately 3% of the total power consumption is spent by data centers and computing devices. This percentage will rise when more internet of things (IoT) devices are connected to the web. The handling of this data requires immense power. Energy Systems Design for Low-Power Computing disseminates the current research and the state-of-the-art technologies, topologies, standards, and techniques for the deployment of energy intelligence in edge computing, distributed computing, and centralized computing infrastructure. Covering topics such as electronic cooling, stochastic data analysis, and energy consumption, this premier reference source is an excellent resource for data center designers, VLSI designers, network developers, students and teachers of higher education, librarians, researchers, and academicians.

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