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

In: Liss 2012

Author

Listed:
  • Lin Wang

    (Beijing Jiaotong University)

  • Lihua Ai

    (Beijing Jiaotong University)

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.

Suggested Citation

  • Lin Wang & Lihua Ai, 2013. "Task Scheduling Policy Based on Ant Colony Optimization in Cloud Computing Environment," Springer Books, in: Zhenji Zhang & Runtong Zhang & Juliang Zhang (ed.), Liss 2012, edition 127, pages 953-957, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-32054-5_133
    DOI: 10.1007/978-3-642-32054-5_133
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