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Sensitivity Analysis Techniques Applied in Video Streaming Service on Eucalyptus Cloud Environments

机译:桉树云环境下视频流服务中的灵敏度分析技术

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Nowdays, several streaming servers are available to provide a variety of multimedia applications such as Video on Demand in cloud computing environments. These environments have the business potential because of the pay-per-use model, as well as the advantages of easy scalability and, up-to-date of the packages and programs. This paper uses hierarchical modeling and different sensitivity analysis techniques to determine the parameters that cause the greatest impact on the availability of a Video on Demand. The results show that distinct approaches provide similar results regarding the sensitivity ranking, with specific exceptions. A combined evaluation indicates that system availability may be improved effectively by focusing on a reduced set of factors that produce large variation on the measure of interest.
机译:如今,一些流服务器可用于提供各种多媒体应用程序,例如云计算环境中的视频点播。这些环境具有按使用付费模式的商业潜力,并且具有易于伸缩性以及软件包和程序是最新的优点。本文使用分层建模和不同的灵敏度分析技术来确定对视频点播的可用性产生最大影响的参数。结果表明,不同的方法在灵敏度排序方面提供了相似的结果,但有特殊的例外。综合评估表明,通过关注减少引起关注度量差异较大的一组因素,可以有效提高系统可用性。

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