Service Reliability Oriented Cloud Resource Scheduling Method

被引：0
作者：
Zhou P. [1 ,2 ]
Yin B. [3 ]
Qiu X.-S. [1 ]
Guo S.-Y. [1 ]
Meng L.-M. [1 ]
机构：
[1] State Key Laboratory of Network and Switching Technology, BUPT, Beijing
[2] Key Laboratory of Cloud Computing Standards and Applications, Ministry of Industry and Information Technology, China Electronics Standardization Institute, Beijing
[3] Research Center of Network Big Data Technology, Institute of Information Technology, Tsinghua University, Beijing
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2019年 / 47卷 / 05期
关键词：
Cloud service; Markov process; Reliability; Resource scheduling;
D O I：
10.3969/j.issn.0372-2112.2019.05.009
中图分类号：
学科分类号：
摘要：
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. © 2019, Chinese Institute of Electronics. All right reserved.
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页码：1036 / 1043
页数：7
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