云计算下均衡负载的差异性资源调度算法优化研究

随着云计算的逐渐发展,云计算下容易出现虚拟机负载不均衡和差异性资源调度时间长的问题,当前调度算法大多无法有效解决均衡负载问题,影响调度性能。为此,提出一种新的云计算下均衡负载的差异性资源调度算法,对云计算下资源调度问题进行描述,针对云计算下虚拟机差异性资源负载问题设定参数。设计蚁群优化算法,蚂蚁爬行的每一步代表指派的一个差异性资源任务,引入挥发因子对信息素更新规则进行改进,获取全局信息素。利用蚁群优化算法对云计算下负载的差异性资源进行均衡调度,给出详细实现过程。实验结果表明,所提算法有较好的收敛性,均衡负载效果好,且时间复杂度低。

Research on the optimization of resource scheduling algorithm for balancing load under cloud computing

With the gradual development of cloud computing, cloud computing is easy to appear is not balanced and the difference of the resource scheduling problem of long time load of the virtual machine, the current scheduling algorithms are unable to effectively solve the load balancing problem of scheduling performance. Therefore, this paper proposes a differential load balancing under the new cloud computing resource scheduling algorithm and resource scheduling problem in cloud computing is described for cloud computing virtual machine resource load difference problem of setting parameters. Ant colony optimization algorithm is designed, and each step of ant crawling represents a differentiated resource task. The ant colony optimization algorithm is used to balance the load of the differential resources under cloud computing. The experimental results show that the proposed algorithm has good convergence, good load balancing effect and low time complexity.