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Binomial distribution approach for efficient detection of service level violations in cloud

机译:高效检测云中服务水平违规的二项式分布方法

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Optimum usage of hardware devices, network devices, software resources and consistent quality of service is the aim of cloud computing. Thus, cloud computing is reducing the cost and mounting the revenue for cloud provider. Cloud computing gives the choice and freedom to cloud consumer for the use of dynamic and elastic services as pay-per-use model. In this context, to justify the cost and to verify the quality of services, active Service Level Management is required. Moreover to overcome unrealistic demands from customers and to surpass the occurring violations, a strong and straight forward approach is needed, through which SLA violations can be noticed, detected and distinguished. In this Paper, we have focused on fundamental elements for effective SLA violations detection system. We also propose an approach for binomial distribution for Service level agreement violation detection. This approach gives probability of success and system reliability of cloud service which may be used by service providers to minimize and prevent different violations.
机译:最佳使用硬件设备,网络设备,软件资源和一致的服务质量是云计算的目标。因此,云计算正在降低成本和安装云提供商的收入。云计算为云消费者提供了选择和自由,以使用动态和弹性服务作为每次使用付费模型。在这种情况下,为了证明成本并验证服务质量,需要主动服务级别管理。此外,为了克服客户的不切实际的要求,并超越发生的违规,需要一种强大而直接的方法,可以通过该方法,检测和区分。在本文中,我们专注于有效SLA违规检测系统的基本要素。我们还提出了一种用于服务级别协议违规检测的二项式分配方法。这种方法具有云服务成功和系统可靠性的概率,该云服务可以由服务提供商使用,以最小化和防止不同的违规行为。

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