Large-scale Distributed Systems and Energy Efficiency: A Holistic View (Wiley Series on Parallel and Distributed Computing) - Hardcover

Pierson, Jean-Marc

Hardcover

ISBN 10: 1118864638 ISBN 13: 9781118864630

Publisher: Wiley, 2015

Synopsis

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.

About this title

About the Author

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.

From the Back Cover

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.

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.

From the Inside Flap

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.

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.

Edition details

• Publisher: Wiley
• Publication date: 2015
• Language: English
• ISBN 10: 1118864638
• ISBN 13: 9781118864630
• Binding: Hardcover
• Edition number: 1
• Number of pages: 336