NDLI: Algorithms for Selecting Energy-Efficient Storage Servers in Storage and Computation Oriented Applications

Content Provider	IEEE Xplore Digital Library
Author	Inoue, T. Aikebaier, A. Enokido, T. Takizawa, M.
Copyright Year	2012
Abstract	The electric power consumption of servers has to be reduced in information systems in order to realize green societies. In information systems, servers mainly consume the electric power to process regrets from clients. We have to reduce the electric power consumed by servers. There are computation (CP), communication (CM), and storage (ST) types of applications to be performed on servers. In CP and CM applications, CPU and communication resources are mainly consumed, respectively. In this paper, we consider ST applications where storage drives are manipulated on a server in addition to CP applications. First, we measure the power consumption of a server to perform CP and ST types of application processes, C, R, and W processes which just compute, read files, and write files, respectively. Then, we discuss a power consumption model of a server by abstracting most essential parameters dominating the power consumption of the server from the experimental results. Here, the power consumption rate of a server is max um if at least one process is performed. However, the maximum power consumption rate of a server depends on types of processes concurrently performed on the server. In addition, we obtain an access rate model to show how long it takes to perform each type of process concurrently with other processes. By using both the power consumption model and the access rate model, we discuss algorithms from selecting a server so that not only the execution time but also the power consumption can be reduced.
Starting Page	920
Ending Page	927
File Size	331210
Page Count	8
File Format	PDF
ISBN	9781467307147
ISSN	1550445X
DOI	10.1109/AINA.2012.136
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-26
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Servers Power demand Computational modeling Power measurement Continuous wavelet transforms Drives Digital ecosystems Green IT technology Power consumption models Storage drives
Content Type	Text
Resource Type	Article

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