Large-Scale Distributed Systems and Energy Efficiency
Jean-Marc Pierson
Sold by PBShop.store UK, Fairford, GLOS, United Kingdom
AbeBooks Seller since June 11, 1999
New - Hardcover
Condition: New
Quantity: 15 available
Add to basketSold by PBShop.store UK, Fairford, GLOS, United Kingdom
AbeBooks Seller since June 11, 1999
Condition: New
Quantity: 15 available
Add to basketNew Book. Shipped from UK. Established seller since 2000.
Seller Inventory # FW-9781118864630
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.
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.
Jean-Marc Pierson is a Professor in Computer Science at the University of Toulouse?(France). Jean-Marc Pierson received his PhD from the ENS-Lyon, France in1996. He was an Associate Professor at the University Littoral?Cote-d'Opale (1997-2001) in Calais, then at INSA-Lyon (2001-2006). He is a member of the IRIT Laboratory and Chair of the SEPIA Team on distributed systems. His research focuses on energy- aware distributed systems, in particular?monitoring, job placement and scheduling, green networking, autonomic computing, and mathematical modelling.
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