A cost-effective strategy for Cloud system maintenance

A cost-effective strategy for Cloud system maintenance
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具有成本效益的云系统维护策略

DOI:
10.1016/j.compeleceng.2016.09.009
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发表时间:
2017-02
影响因子:
4.3
通讯作者:
Fan, Yang
Fan, Yang
中科院分区:
计算机科学3区
文献类型:
--
作者:
Li, Xinyi;Qi, Yong;Chen, Pengfei;Fan, Yang

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为了保证现代基于云的应用程序的高可用性,通常使用服务备份来维护故障的服务。但是,基于虚拟机备份的维护策略效果不佳,会造成预算高、资源利用率低的问题。本文提出了一种具有成本效益的多虚拟机维护策略,以最大限度地降低云中有限备份虚拟机的维护成本。不同于单系统维护策略每次只考虑一个系统,追求局部最优,该策略从全局角度同时考虑所有运行的系统。将多系统维修问题形式化为一个不宁多臂强盗问题,提出了具有拉格朗日松弛的虚拟机健康指数的概念,并提出了一种基于指数的维修调度策略。在备份虚拟机有限的情况下,实验结果表明,所提出的高性价比多虚拟机维护策略在总维护成本和系统可用性方面明显优于单系统维护策略。
To guarantee the high availability of modern Cloud-based applications, service backup is commonly used to maintain the failed services. However, an ineffective maintenance strategy based on virtual machine (VM) backup will cause a high budget and low resource utilization. This paper proposes a cost-effective multi-VM maintenance strategy to minimize maintenance cost with limited backup VMs in the Cloud. Different from the single-system maintenance strategies that pursue local optima by considering only one system each time, the proposed strategy considers all the running systems simultaneously from a global perspective. We formalize the multi-system maintenance as a restless multi-armed bandit problem, propose the concept of Healthy Indices of VMs with Lagrangian relaxation and develop an index based policy for maintenance scheduling. Given the limited backup VMs, the experiment results show that the proposed cost-effective multi-VM maintenance strategy significantly outperforms single-system maintenance policies in terms of total maintenance cost and system availability.
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