Pierson, Jean-Marc
Large-scale Distributed Systems and Energy Efficiency: A Holistic View
Addresses innovations in technology relating to the energy efficiency of a wide variety of contemporary computer systems and networks
With concerns about global energy consumption at an all-time high, improving computer networks energy efficiency is becoming an increasingly important topic. Large-Scale Distributed Systems and Energy Efficiency: A Holistic View addresses innovations in technology relating to the energy efficiency of a wide variety of contemporary computer systems and networks. After an introductory overview of the energy demands of current Information and Communications Technology (ICT), individual chapters offer in-depth analyses of such topics as cloud computing, green networking (both wired and wireless), mobile computing, power modeling, the rise of green data centers and high-performance computing, resource allocation, and energy efficiency in peer-to-peer (P2P) computing networks.
- Discusses measurement and modeling of the energy consumption method
- Includes methods for energy consumption reduction in diverse computing environments
- Features a variety of case studies and examples of energy reduction and assessment
Timely and important, Large-Scale Distributed Systems and Energy Efficiency is an invaluable resource for ways of increasing the energy efficiency of computing systems and networks while simultaneously reducing the carbon footprint.
Keywords: Computer networks; computer systems; data centers; energy efficiency; high performance computing; virtual machines; green data centers; green IT; cloud computing; P2P, Energy Efficiency, Grid & Cloud Computing, Energy Efficiency, Grid & Cloud Computing
- Author(s)
- Pierson, Jean-Marc
- Publisher
- John Wiley and Sons, Inc.
- Publication year
- 2015
- Language
- en
- Edition
- 1
- Imprint
- Wiley
- Series
- Wiley Series on Parallel and Distributed Computing
- Page amount
- 336 pages
- Category
- Information Technology, Telecommunications
- Format
- Ebook
- eISBN (PDF)
- 9781118959121
- Printed ISBN
- 9781118864630