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

被引：3
|
作者：
Wang, Lin [1 ]
Ai, Lihua [1 ]
机构：
[1] Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China
来源：
PROCEEDINGS OF 2ND CONFERENCE ON LOGISTICS, INFORMATICS AND SERVICE SCIENCE (LISS 2012), VOLS 1 AND 2 | 2013年
关键词：
Cloud computing; Task scheduling; Ant Colony Optimization;
D O I：
10.1007/978-3-642-32054-5_133
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
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页数：5
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