Energy-aware server provisioning and load dispatching for connection-intensive internet services
Published 16 April 2008
Chen Gong, Wenbo He, Jie Liu, Suman Nath, Leonidas Rigas, Lin Xiao
Citations645
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TL;DR
This paper characterize unique properties, performance, and power models of connection servers, based on a real data trace collected from the deployed Windows Live Messenger, and shows that these algorithms can save a significant amount of energy without sacrificing user experiences.
Abstract
Energy consumption in hosting Internet services is becoming a pressing issue as these services scale up. Dynamic server provisioning techniques are effective in turning off unnecessary servers to save energy. Such techniques, mostly studied for request-response services, face challenges in the context of connection servers that host a large number of long-lived TCP connections. In this paper, we characterize unique properties, performance, and power models of connection servers, based on a real data trace collected from the deployed Windows Live Messenger. Using the models, we design server provisioning and load dispatching algorithms and study subtle interactions between them. We show that our algorithms can save a significant amount of energy without sacrificing user experiences. 1
Keywords
Computer Science
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