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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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.