摘要
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。
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.
出处
《计算机应用研究》
CSCD
北大核心
2015年第3期834-837,共4页
Application Research of Computers
基金
国家自然科学基金青年基金资助项目(51309004)
安徽省自然科学基金资助项目(KJ2013B100)
关键词
云计算
高斯变异
人工萤火虫算法
cloud computing
Gauss mutation
artificial glowworm algorithm
