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Author Anagnostopoulou, Vlasia ♦ Biswas, Susmit ♦ Saadeldeen, Heba ♦ Savage, Alan ♦ Bianchini, Ricardo ♦ Yang, Tao ♦ Franklin, Diana ♦ Chong, Frederic T.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2012
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Energy management ♦ Active low-power states ♦ Memory management
Abstract Current resource provisioning schemes in Internet services leave servers less than 50% utilized almost all the time. At this level of utilization, the servers' energy efficiency is substantially lower than at peak utilization. A solution to this problem could be dynamically consolidating workloads into fewer servers and turning others off. However, services typically resist doing so, because of high response times during reactivation in handling traffic spikes. Moreover, services often want the memory and/or storage of all servers to be readily available at all times. In this article, we propose a family of barely alive active low-power server states that facilitates both fast reactivation and access to memory while in a low-power state. We compare these states to previously proposed active and idle states. In particular, we investigate the impact of load bursts in each energy-saving scheme. We also evaluate the additional benefits of memory access under low-power states with a study of a search service using a cooperative main-memory cache. Finally, we propose a system that combines a barely-alive state with the off state. We find that the barely alive states can reduce service energy consumption by up to 38%, compared to an energy-oblivious system. We also find that these energy savings are consistent across a large parameter space.
ISSN 15504832
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2012-11-01
Publisher Place New York
e-ISSN 15504840
Journal ACM Journal on Emerging Technologies in Computing Systems (JETC)
Volume Number 8
Issue Number 4
Page Count 20
Starting Page 1
Ending Page 20


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Source: ACM Digital Library