An Assessment Survey of Cloud Simulators for Fault Identification

J. Nandhini, T. Gnanasekaran
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Abstract

Cloud computing is a large set of logical computational resources accessible via internet. Cloud computing offers services to obtain coherence, scalability, economy subscale with maximum efficiency and resource optimization. Fault tolerance is the characteristic that enables the system to stay operating and adhere SLA even when the in the system faults and failures. For a system to be fault tolerant the interval of fault identification and removal must be minimum to follow the QoS requirements. virtualization in the Data center can assist in fault prediction that makes the system fault tolerant. A cloud simluator is an extensible tool to analyse, evaluate and measure the system performance of the cloud cloud applications to satisfy the QoS provisions. This paper deals with the survey of the various cloud simulators with emphasis on using CloudSim
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云模拟器故障识别评估综述
云计算是通过internet访问的大量逻辑计算资源。云计算提供服务以获得一致性、可扩展性、经济子规模以及最大效率和资源优化。容错是一种特性,它使系统即使在系统发生故障和失败时也能保持运行并遵循SLA。要使系统具有容错性,故障识别和排除的间隔必须最小,以满足QoS要求。数据中心中的虚拟化可以帮助进行故障预测,从而使系统具有容错性。云模拟器是一种可扩展的工具,用于分析、评估和测量云应用程序的系统性能,以满足QoS规定。本文介绍了各种云模拟器的概况,重点介绍了CloudSim的使用
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