基于蚁群粒子群优化算法的 云计算资源调度方案OA北大核心CSCDCSTPCD
Cloud Computing Resource Scheduling Scheme Based on Ant Colony Particle Swarm Optimization Algorithm
通过对蚁群算法和粒子群算法分别进行改进,利用两种算法自身优势相结合的方式建立一种蚁群粒子群算法,以提高云计算资源调度效率,解决云计算中资源调度方案优化问题.实验结果表明,该算法所消耗的时间更少,效果更好.
Through the improvement of ant colony algorithm and particle swarm algorithm,using the combination of advantages of the two algorithms,the author established an ant colony particle swarm optimization algorithm to improve the efficiency of cloud computing resource scheduling and solve the resource scheduling problem in cloud computing.The experimental results show that the algorithm consumes less time and gets better results.
萨日娜
内蒙古财经大学 计算机系,呼和浩特 010051
信息技术与安全科学
云计算蚁群算法粒子群算法资源调度方案
cloud computingant colony algorithmparticle swarm algorithmresource scheduling scheme
《吉林大学学报（理学版）》 2017 (6)
1518-1522,5
内蒙古自然科学基金(批准号:2013MS0901).
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