基于排队理论的云计算资源分配模型的纳什均衡优化方法研究

Research on Nash equilibrium optimal allocation method of cloud computing resources

为优化云计算系统在资源分配中的均衡性,不断提升资源提供者的收益,文章提出以排队理论为基础的云计算资源模型。将云计算等待队列的距离当作资源调度的基础,进而融合了纳什均衡理论对模型的资源调度策略展开合理性分析,并有针对性地提出合理优化的资源调度方法,并将其和分布式计算架构Hadoop当中的资源分配方式进行对比,进而得到实验结果。实验结果表明,和其他几种算法相比,本次研究提出的改进资源分配算法不仅能够满足用户对资源共享提出的需求,还能够满足资源提供者对提升系统响应时间提出的需要。

In order to effectively improve the balance of cloud computing system in the process of resource allocation,continuously improve the revenue of resource providers,and form a cloud computing resource model based on queuing theory.Considering the distance of the waiting queue and taking it as the basis of resource scheduling,we integrate the Nash equilibrium theory to carry out a rational analysis of resource scheduling strategies,propose a reasonably optimized resource scheduling method,and compare it with the resource allocation method in the distributed computing architecture Hadoop.The experimental results show that,compared with other algorithms,the improved resource allocation algorithm proposed in this study can not only meet the needs of users for resource sharing,but also meet the needs of resource providers for improving system response time.