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Topology-aware virtual machine replication for fault tolerance in cloud computing systems

机译:拓扑无感知虚拟机复制云计算系统中的容错

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Extensive use of cloud services has led to the need for service reliability for both the service provider as well as the users. In the Infrastructure as a Service cloud computing model, it is critical to ensure the reliability of resources such as virtual machines (VMs); storage networks etc. The paper proposes a replication-based fault tolerance method to improve the reliability of VM-based services. The proposed approach utilizes a data centre topology-aware method to select physical machines where replicas of VMs may be placed. The selection criteria for VM replica placement favour the physical machines at lower CPU temperature, more available space and at a lower edge length from the physical machine that primarily hosts the VM. By avoiding deteriorating physical machines, this policy increases the probability of successful recovery if the VM or its host physical machine fails. The proposed approach has been evaluated using two metrics, namely recoverability and the total bandwidth consumed in the replication and recovery process. The performance of the approach has been compared with a random replica placement method as well as a state of art algorithm. The simulation results illustrate that the proposed approach provides higher reliability than the other methods.
机译:广泛使用云服务导致服务提供商以及用户的服务可靠性。在基础设施作为服务云计算模型中,确保虚拟机(VM)等资源的可靠性至关重要;存储网络等提出了一种基于复制的容错方法来提高基于VM的服务的可靠性。该方法利用数据中心拓扑感知方法来选择可以放置VM的副本的物理机器。 VM副本放置的选择标准有利于较低的CPU温度,更可用空间和从主要托管VM的物理机器的更低边缘长度的物理机器。通过避免物理机器恶化,如果VM或其主机物理机失败,此政策会增加成功恢复的概率。已经使用两个度量评估了所提出的方法,即复制和恢复过程中消耗的总带宽以及在复制和恢复过程中消耗的总带宽进行了评估。已经将该方法的性能与随机复制放置方法以及最先进的算法进行了比较。仿真结果表明,所提出的方法提供比其他方法更高的可靠性。

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