A survey on techniques for improving the energy efficiency of large-scale distributed systems

Authors:
Anne-Cecile Orgerie;Marcos Dias de Assuncao;Laurent Lefevre
Affiliations:
CNRS, IRISA Laboratory, France;IBM Research, Brazil;INRIA, LIP Laboratory, University of Lyon, France
Venue:
ACM Computing Surveys (CSUR)
Year:
2014

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Abstract

The great amounts of energy consumed by large-scale computing and network systems, such as data centers and supercomputers, have been a major source of concern in a society increasingly reliant on information technology. Trying to tackle this issue, the research community and industry have proposed myriad techniques to curb the energy consumed by IT systems. This article surveys techniques and solutions that aim to improve the energy efficiency of computing and network resources. It discusses methods to evaluate and model the energy consumed by these resources, and describes techniques that operate at a distributed system level, trying to improve aspects such as resource allocation, scheduling, and network traffic management. This work aims to review the state of the art on energy efficiency and to foster research on schemes to make network and computing resources more efficient.