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.