面向服务可靠性的云资源调度方法

随着云计算成为重要的信息基础设施，越来越多的应用迁移到云上，云服务的可靠性日益重要，尤其是边缘计算新模式的引入，对云服务可靠性提出了更高的要求.如何通过资源调度保障服务可靠性成为了当前研究的热点.为此，针对云-边协同的应用场景，开展面向服务可靠性的云资源调度方法研究，提出基于马尔科夫预测模型的云资源调度算法，实现节点负载判断、待迁移任务和节点选择、迁移路由的决策，以解决云服务节点失效情况下的任务调度和负载均衡问题，实现快速的云服务故障恢复，提高云服务的可靠性.实验结果表明，本文所提方法能够有效保证节点失效情况下的服务可靠性.

Service Reliability Oriented Cloud Resource Scheduling Method

As Cloud Computing becomes an important information infrastructure,more and more applications are being migrated to the cloud.Therefore,the reliability of cloud services becomes increasingly important.In particular,the introduction of new edge computing mode puts forward higher requirements on the reliability of cloud services.How to guarantee the reliability of services through resource scheduling has become a hot topic of current research.In Cloud-Edge collaborative application scenarios,we research on a service reliability oriented cloud resource scheduling method to support cloud service reliability.And the cloud resource scheduling algorithm based on markov prediction model is put forward to solve the problem of task scheduling and load balancing in cloud service node failure situation,including the judgment of node load degree,the selection of migrated task and nodes,and the decision of migration routing.The goal is to achieve rapid cloud service recovery and to improve the reliability of cloud services.The experimental results show that the proposed method can effectively guarantee the service reliability.