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Title: Energy efficient scheduling in data centers
Authors: Paul, Debdeep
Zhong, Wende
Bose, Sanjay K
Keywords: provisioning
cloud computing
computer centres
predictive control
resource allocation
telecommunication power management
telecommunication scheduling
energy efficient scheduling
Issue Date: 2015
Source: Paul, D., Zhong, W., & Bose, S. K. (2015). Energy efficient scheduling in data centers. 2015 IEEE International Conference on Communications (ICC), 5948-5953.
Abstract: The explosive growth of the Internet has resulted in tremendous growth of the data centers which primarily serve as the cloud computing backbones. We consider the practical architecture of a real data center where different types of services are implemented in different tiers. We use Model Predictive Control (MPC) based energy aware scheduling algorithms to address the resource allocation problem for deferrable jobs in such a tiered architecture, where the switching cost is accounted for in two different ways. We compare the performance of these two algorithms with respect to the important performance parameters of cumulative electricity cost, cumulative renewable usage and cumulative number of switchings. We discuss the results to provide some insightful understanding on these issues.
DOI: 10.1109/ICC.2015.7249270
Rights: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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