基于随机模型的云平台资源调度策略设计

摘要

In view of cloud computing actual needs of resource management, cloud platform scheduling strategy based on stochastic model is proposed, and reasonable and efficient resource scheduling algorithm is designed in order to reduce the request loss rate of traditional algebraic model and improve poor load balancing performance of other stochastic mod-els. Through load balancing on the basis of service performance and efficiency, cloud platform stability is ensured. Experi-mental results show that the scheduling strategy can optimize the efficiency of virtual resource usage and the response time of the service while being able to achieve better load balance and reduce operating costs.%针对云计算资源管理的实际需求，提出一种基于随机模型的云平台调度策略，设计合理高效的资源调度算法，解决传统代数模型请求丢失率高以及其他随机模型负载均衡指标性能较差的问题，从而在服务性能和执行效率的基础上保证服务器的资源负载，使云平台处于相对稳定的状态。在实验环境中的验证结果表明，该调度策略能够优化虚拟资源的使用效率和服务响应时间，同时能够达到较好的负载均衡并降低运营成本。