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基于改进布谷鸟搜索算法的云计算资源调度

赵莉

南京理工大学学报(自然科学版)2016,Vol.40Issue(4):472-476,5.
南京理工大学学报(自然科学版)2016,Vol.40Issue(4):472-476,5.DOI:10.14177/j.cnki.32-1397n.2016.40.04.016

基于改进布谷鸟搜索算法的云计算资源调度

Cloud computing resource scheduling based on modified cuckoo search algorithm

赵莉1

作者信息

  • 1. 信阳农林学院 信息工程学院,河南 信阳464000
  • 折叠

摘要

Abstract

In view of the time-consuming length of the current cloud computing resource scheduling and the high overhead problem,this paper proposes a novel cloud computing task scheduling method based on a modified cuckoo search algorithm. The current cloud computing resource scheduling research present situation is analysed. Different levels of virtual machine and security needs are obtained according to the intensity of security and user demand. Modified cuckoo search algorithm is used to solve the problem of the cloud computing resource scheduling. The simulation experiments are carried out in CloudSim platform. The results show that the proposed method can obtain good scheduling scheme for cloud computing resources, and scheduling performance is superior to other cloud computing resources scheduling methods,which verify the effectiveness and superiority of the proposed method.

关键词

云计算/资源调度/布谷鸟搜索算法/调度方案/安全等级

Key words

cloud computing/resource scheduling/cuckoo search algorithm/scheduling scheme/security level

分类

信息技术与安全科学

引用本文复制引用

赵莉..基于改进布谷鸟搜索算法的云计算资源调度[J].南京理工大学学报(自然科学版),2016,40(4):472-476,5.

基金项目

河南省教育厅科学技术研究重点项目(16A520091) (16A520091)

南京理工大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1005-9830

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