基于优化克隆选择算法的云资源调度研究  

Research on Cloud Resources Scheduling Based on Optimized Clonal Selection Algorithm

作　　者：杨丽 朱博[2] YANG Li;ZHU Bo(School of Computer Science and Information Engineering,Hubei University,Wuhan 430062;Wuhan Digital Engineering Insititute,Wuhan 420205)

机构地区：[1]湖北大学计算机与信息工程学院,武汉430062 [2]武汉数字工程研究所,武汉420205

出　　处：《计算机与数字工程》2018年第12期2395-2399,共5页Computer & Digital Engineering

基　　金：湖北省教育厅科学技术研究计划青年人才项目"跨领域的中文网络评论情感倾向分析与研究"(编号:530/165301301003)资助

摘　　要：论文在克隆选择算法的启发下,提出了克隆选择的优化模型和算法,通过对多峰函数的计算优化实验,验证了该优化方法改进了传统遗传算法的性能。同时,论文将此算法应用于云环境的资源调度研究中,最终提出具有模糊处理时间的人工免疫调度算法。通过仿真和比较实验,验证了该算法的有效性和效率。Inspired by Clonal Selection Algorithm(CSA),an optimized clonal selection model and algorithm is proposed.By calculating and optimizing experiment with the multimodal function,it is verified that the optimization algorithm improves the perfor?mance of traditional genetic algorithm.Meanwhile,the optimization algorithm is applied to the research of cloud resources schedul?ing,and finally an artificial immune scheduling algorithm with fuzzy processing time is proposed.The effectiveness and efficiency of the algorithm are verified by simulation and comparison experiments.

关 键 词：云资源调度 克隆选择优化 人工免疫算法 模糊处理时间 

分 类 号：Q785[生物学—分子生物学]