基于改进鲸鱼优化算法的资源调度策略  

Resource scheduling strategy based on improved WOA

作　　者：余隆勇 Yu Longyong(School of Information Science and Technology Zhejiang Sci-Tech University,Hangzhou,Zhejiang 310018,China)

机构地区：[1]浙江理工大学计算机科学与技术学院,浙江杭州330018

出　　处：《计算机时代》2023年第8期41-45,51,共6页Computer Era

基　　金：浙江省重点研发计划项目(2020C03094);浙江省教育厅一般科研项目(Y202147659);浙江省教育厅项目(Y202250706);浙江省基础公益研究计划项目(QY19E050003)。

摘　　要：传统云计算在资源调度中存在效率低、计算时间分配不合理的问题;鲸鱼算法(WOA)存在收敛能力不足、容易陷入局部最优等问题。对此提出一种改进的WOA-3资源调度策略。该策略对WOA三个阶段优化,并对WOA-3和鲸鱼算法等分别进行性能优化和资源调度实验。性能优化实验表明WOA-3算法比WOA、PSO和GWO算法具有更好的收敛速度和精度;在资源调度实验中,改进的WOA-3算法相较于WOA和PSO算法分别提升了5.87%和9.76%。Traditional cloud computing suffers from low efficiency and unreasonable computation time allocation in resource scheduling,and WOA suffers from insufficient convergence ability and easy to fall into local optimality.To this end,an improved WOA-3 resource scheduling strategy is proposed to optimize the three phases of WOA.Performance optimization and resource scheduling experiments are conducted for the WOA-3 and WOA,respectively.Performance optimization experiments show that WOA-3 algorithm has better convergence speed and accuracy than WOA,PSO and GWO algorithm.Resource scheduling experiments show that compared with WOA and PSO,the improved WOA-3 algorithm increases by 5.87%and 9.76%,respectively.

关 键 词：云计算 资源调度 鲸鱼算法 最优解 负载均衡 自适应权重 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]