基于ACO-ICA的云计算任务的调度研究  

Research on Scheduling Cloud Computing Tasks Based on ACO-ICA

作　　者：史振华[1] Shi Zhenhua(Shaoxing Vocation & Technical College,Shaoxing Zhejiang 312000, China)

机构地区：[1]绍兴职业技术学院,浙江绍兴312000

出　　处：《科技通报》2019年第5期138-143,148,共7页Bulletin of Science and Technology

摘　　要：针对云计算中的任务调度的存在效率低的问题,首先分析了云计算任务调度目标,其次,对蚁群算法的信息素设置质量函数、对选择概率设置经验反馈因子进行了改进,对帝国竞争算法中的殖民地计算方式、边界值的处理都采用了新的方式,最后将两种算法进行融合,得到基于蚁群算法-帝国竞争算法的云计算任务调度算法,仿真实验中,在任务执行时间,执行成本和负载率方面,本文算法都具有一定的优越性。Aiming at the problem of low efficiency when scheduling cloud computing tasks, the target of scheduling cloud computing tasks is analyzed at first, and then setting mass function for the pheromones of ACO, advancing the set feedback factors for selective probability, and new methods are applied for the calculation of colony in ICA and the process of boundary value. Lastly, combining these two algorithms together, and the ACO-ICA-based algorithm for scheduling cloud computing tasks is made. In the stimulation experience, this algorithm have advantages in the aspects of time consumed, cost, ratios of loading and so on.

关 键 词：云计算 任务调度 蚁群算法 帝国竞争算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]