Journal article

Cloud service reliability enhancement via virtual machine placement optimization

A Zhou, S Wang, B Cheng, Z Zheng, F Yang, RN Chang, MR Lyu, R Buyya

IEEE Transactions on Services Computing | IEEE COMPUTER SOC | Published : 2017

Abstract

With rapid adoption of the cloud computing model, many enterprises have begun deploying cloud-based services. Failures of virtual machines (VMs) in clouds have caused serious quality assurance issues for those services. VM replication is a commonly used technique for enhancing the reliability of cloud services. However, when determining the VM redundancy strategy for a specific service, many state-of-the-art methods ignore the huge network resource consumption issue that could be experienced when the service is in failure recovery mode. This paper proposes a redundant VM placement optimization approach to enhancing the reliability of cloud services. The approach employs three algorithms. The..

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University of Melbourne Researchers

Grants

Awarded by National Natural Science Foundation of China


Funding Acknowledgements

The work presented in this study is supported by NSFC (61472047), NSFC (61272521), Guangdong Natural Science Foundation (Project No. 2014A030313151), and the Fundamental Research Funds for the Central Universities. Shangguang Wang is the corresponding author.