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Probabilistic Model for Evaluating a Proactive Fault Tolerance Approach in the Cloud

机译:用于评估云中主动容错方法的概率模型

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Cloud computing is an emerging paradigm where computing services are provided across the web. Virtualization powers the cloud by mutualizing physical resources thus ensuring flexibility and high availability of the cloud. Certainly fault tolerance like load balancing or advancement programming security aim to foster availability but classic reactive fault tolerance techniques prove to be greedy in terms of memory and recovery time. Elsewhere, proactive fault tolerance is possible by preemptive virtual machine migration requiring a strong and accurate failure predictor. In quest of an effective approach for proactive fault tolerance we introduce in this paper a probabilistic model of the cloud with a failure generator for evaluating a proposed approach based on three scenarios of virtual machine migration.
机译:云计算是一个新兴范式,其中在网站上提供计算服务。虚拟化通过相互化物理资源来为云进行为云,从而确保云的灵活性和高可用性。当然是负载平衡或进步编程安全性的容错旨在促进可用性,但经典的无功容错技术在内存和恢复时间方面被证明是贪婪的。在其他地方,抢占虚拟机迁移可能是可能的,需要强大和准确的故障预测仪。在寻求主动容错的有效方法中,我们在本文中介绍了具有失败发生器的云的概率模型,用于评估基于虚拟机迁移的三种情况的提出方法。

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