1. State Key Laboratory of Network and Switching Technology, BUPT, Beijing 100876, China;
2. Key Laboratory of Cloud Computing Standards and Applications, Ministry of Industry and Information Technology, China Electronics Standardization Institute, Beijing 100007, China;
3. Research Center of Network Big Data Technology, Institute of Information Technology, Tsinghua University, Beijing 100084, China
Abstract：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.
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2019, Vol. 47 
