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Energy-Efficient Server Selection Algorithms for Distributed Applications

Energy-Efficient Server Selection Algorithms for Distributed Applications

Tomoya Enokido, Ailixier Aikebaier, Makoto Takizawa
Copyright: © 2012 |Pages: 37
ISBN13: 9781466618398|ISBN10: 1466618396|EISBN13: 9781466618404
DOI: 10.4018/978-1-4666-1839-8.ch004
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MLA

Wen-Chen Hu and Naima Kaabouch. "Energy-Efficient Server Selection Algorithms for Distributed Applications." Sustainable ICTs and Management Systems for Green Computing, IGI Global, 2012, pp.74-110. https://doi.org/10.4018/978-1-4666-1839-8.ch004

APA

W. Hu & N. Kaabouch (2012). Energy-Efficient Server Selection Algorithms for Distributed Applications. IGI Global. https://doi.org/10.4018/978-1-4666-1839-8.ch004

Chicago

Wen-Chen Hu and Naima Kaabouch. "Energy-Efficient Server Selection Algorithms for Distributed Applications." In Sustainable ICTs and Management Systems for Green Computing. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-1839-8.ch004

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Abstract

A wide range of distributed applications are developed on various types of scalable information systems like Peer-to-Peer (P2P) and cloud computing systems. Various types of distributed algorithms are so far developed to minimize the computation time and response time and to maximize the throughput. On the other hand, it is getting more significant to realize energy-aware information systems for reducing the consumption of natural resources. In order to realize the energy-aware information systems, it is critical to reduce the total electrical power consumption of computers and networks. In this chapter, the authors classify applications on distributed systems into computation, communication, and general types of applications. Then, they define power consumption models of a server to perform each type of application process. Based on the power consumption models, the authors propose algorithms to select one of the servers for each type of application so that the total power consumption of servers can be reduced and also evaluate the algorithms in terms of not only performance but also energy consumption.

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