Affiliation:
1. CNRS, IRISA Laboratory, France
2. IBM Research, Brazil
3. INRIA, LIP Laboratory, University of Lyon, France
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.
Publisher
Association for Computing Machinery (ACM)
Subject
General Computer Science,Theoretical Computer Science
Reference152 articles.
1. Storage modeling for power estimation
2. G. Ananthanarayanan and R. Katz. 2008. Greening the Switch. Technical Report. EECS Department University of California Berkeley. G. Ananthanarayanan and R. Katz. 2008. Greening the Switch. Technical Report. EECS Department University of California Berkeley.
Cited by
226 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献