计算机与数字工程2019，Vol.47Issue(4)：743-747,793,6.DOI:10.3969/j.issn.1672-9722.2019.04.002
基于改进蚁群优化算法的云计算调度方法
Cloud Computing Scheduling Method Based on Improved Ant Colony Optimization Algorithm
摘要
Abstract
With the characteristics of scalability,high reliability,low cost and on-demand services etc,cloud computing has attracted the attention of numerous researchers and enterprises,and becomes a hot topic in today's era. Cloud computing task sched?uling occupies a very important position in cloud computing research field. This paper first analyzes the current situation of cloud computing task scheduling,then describes the ant colony algorithm commonly used in task scheduling,and in view of the shortage of the traditional ant colony task scheduling algorithm in cloud computing,proposes cloud computing scheduling method based on improved ant colony optimization algorithm,improves the way of pheromone updating and pheromone volatilization. Finally,the ex?periment is carried out using CloudSim,and the feasibility of the algorithm is analyzed and verified.关键词
云计算/任务调度/蚁群优化算法/CloudSimKey words
cloud computing/task scheduling/ant colony optimization algorithm/CloudSim分类
信息技术与安全科学引用本文复制引用
王恩重,陶传奇..基于改进蚁群优化算法的云计算调度方法[J].计算机与数字工程,2019,47(4):743-747,793,6.基金项目
国家自然科学基金(编号:61402229,61502233) （编号:61402229,61502233）
江苏省博士后基金(编号:1401043B) （编号:1401043B）
南京大学软件新技术国家重点实验室开放式基金(编号:KFKT2015B10) （编号:KFKT2015B10）
江苏省高校自然科学研究项目(编号:15KJB520030)资助. （编号:15KJB520030）
