Energy efficient scheduling in data centers

Energy efficient scheduling in data centers

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 Predictiv...

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Bibliographic Details
Main Authors: Paul, Debdeep, Zhong, Wende, Bose, Sanjay K
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2016
Subjects:
provisioning
cloud computing
computer centres
predictive control
resource allocation
telecommunication power management
telecommunication scheduling
cost
energy efficient scheduling
Online Access:https://hdl.handle.net/10356/80296
http://hdl.handle.net/10220/40460
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Institution: Nanyang Technological University
Language: English
Description
Summary: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.

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