Fault Tree Analysis based Virtual Machine Migration for Fault-Tolerant Cloud Data Center

G. Paulraj, I. Jebadurai, Jebaveerasingh Jebadurai
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引用次数: 2

Abstract

Though cloud data center is highly adapted for flexible, scalable and highly available computing and storage resources, it is vulnerable to failures. Predicting the occurrence of server failure and taking appropriate preventive measures are essential in the cloud data center. In order to develop fault-tolerant cloud data center, a Fault Tree Analysis (FTA) based failure aware virtual machine (VM) migration technique is proposed. A fault tree is constructed for server failure event. The server failure is estimated by analyzing the fault tree and the virtual machines are migrated proactively to an alternate server before the failure. Simulations have been carried out and performance of the proposed technique is analyzed in terms of throughput. The results show that the proposed technique outperforms the other state of art techniques.
基于故障树分析的容错云数据中心虚拟机迁移
虽然云数据中心高度适应灵活、可扩展和高可用的计算和存储资源,但它很容易出现故障。在云数据中心中,预测服务器故障的发生并采取适当的预防措施至关重要。为了发展容错的云数据中心,提出了一种基于故障树分析的故障感知虚拟机迁移技术。针对服务器故障事件构造了故障树。通过分析故障树来估计服务器故障,并在故障发生前将虚拟机主动迁移到备用服务器。进行了仿真,并从吞吐量的角度分析了该技术的性能。结果表明,所提出的技术优于其他先进技术。
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