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Semi-Markov Process Based Reliability and Availability Prediction for Volunteer Cloud Systems

机译:基于半马尔可夫过程的志愿者云系统可靠性和可用性预测

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Alternative cloud systems that depend on spare resources of volunteer computers are emerging, complementing the conventional data center based clouds. These alternative cloud systems have one characteristic in common - they do not rely on dedicated data centers to provide the cloud services. Delivering reliable cloud services over volatile donated computing resources of volunteer hosts is one of the main challenges in such opportunistic cloud systems that run over scavenged resources. This paper discusses the design of a multi-state semi-Markov process based availability and reliability prediction model for nodes in volunteer cloud computing systems. It also presents the implementation and integration of the model in a real volunteer cloud system, cuCloud. Moreover, the evaluation and empirical results obtained from the experimentation performed on real cuCloud system is discussed.
机译:依赖于志愿计算机的备用资源的替代云系统正在出现,这是对基于数据中心的传统云的补充。这些替代的云系统具有一个共同的特征-它们不依赖于专用数据中心来提供云服务。在志愿者主机的易失性捐赠计算资源上提供可靠的云服务是运行在已清除资源上的这种机会主义云系统的主要挑战之一。本文讨论了基于多状态半马尔可夫过程的志愿者云计算系统中节点的可用性和可靠性预测模型的设计。它还介绍了该模型在真实的志愿者云系统cuCloud中的实现和集成。此外,还讨论了从在实际cuCloud系统上进行的实验获得的评估和经验结果。

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