Task Scheduling Policy Based on Ant Colony Optimization in Cloud Computing Environment

Lin Wang () and Lihua Ai ()
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Lin Wang: Beijing Jiaotong University
Lihua Ai: Beijing Jiaotong University

A chapter in LISS 2012, 2013, pp 953-957 from Springer

Abstract: Abstract Cloud computing can provide strong processing capacity to tackle huge amounts of requests from many users. Task scheduling problem is the keystone to Cloud computing. In this paper we propose a task scheduling policy based on Ant Colony Optimization. This policy can minimize the makespan of the tasks submitted to the cloud system.

Keywords: Cloud computing; Task scheduling; Ant Colony Optimization (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-32054-5_133

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DOI: 10.1007/978-3-642-32054-5_133

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