基于高斯变异的人工萤火虫算法在云计算资源调度中的研究

如何合理地分配云计算资源一直都是研究的热点。建立云计算环境下的资源调度模型,通过人工萤火虫算法个体最优与云计算节点资源分配对应起来,在算法中引入高斯变异算法,通过与经典函数比较,优化后的算法在搜索精度上以及收敛速度上有了很大的提高。通过在Cloud Sim平台上与经典智能算法的比较,该算法能够有效地提高云计算中的资源调度性能,缩短任务完成的时间,提高系统整体处理能力。...

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Bibliographic Details
Published in计算机应用研究 Vol. 32; no. 3; pp. 834 - 837
Main Author 刘运 程家兴 林京
Format Journal Article
LanguageChinese
Published 安徽新华学院信息系统软件研究所,合肥,230088%安徽大学计算智能与信号处理教育部重点实验室,合肥,230039 2015
Subjects
云计算
人工萤火虫算法
高斯变异
artificial glowworm algorithm
高斯变异
cloud computing
Gauss mutation
云计算
人工萤火虫算法
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ISSN1001-3695
DOI10.3969/j.issn.1001-3695.2015.03.044

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Summary:如何合理地分配云计算资源一直都是研究的热点。建立云计算环境下的资源调度模型,通过人工萤火虫算法个体最优与云计算节点资源分配对应起来,在算法中引入高斯变异算法,通过与经典函数比较,优化后的算法在搜索精度上以及收敛速度上有了很大的提高。通过在Cloud Sim平台上与经典智能算法的比较,该算法能够有效地提高云计算中的资源调度性能,缩短任务完成的时间,提高系统整体处理能力。
Bibliography:51-1196/TP
cloud computing; Gauss mutation; artificial glowworm algorithm
How to equitably distribute resource allocation of cloud computing has always been a hot spot of study. This paper first established resource scheduling model under environment of cloud computing and introduced into Gauss mutation algorithm through corresponding particle optimization of artificial glowworm algorithm with node resource allocation of cloud computing; it also had great improvement in searching precision and rate of convergence by algorithm after comparative optimization with classical function. Through comparing with classical intelligence algorithm in CloudSim platform, this algorithm can effectively improve performance of resource scheduling in cloud computing, shorten time of completing task and promote integral proces- sing capacity of system.
LIU Yun , CHENG Jia-xing , LIN Jing（ 1. Institute of Information ＆ Software, Anhui Xinhua University, Hefei 230088, China ; 2. Key Laboratory of Intelligent Computing ＆ Signal Proce
ISSN:1001-3695
DOI:10.3969/j.issn.1001-3695.2015.03.044