EWMA Control Charts for Statistical Detecting QoS Violations

Shin-Li Lu, Chen-Fang Tsai, Jen-Hsiang Chen
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Abstract

A simple statistical approach based on exponentially weighted moving average (EWMA) charts for monitoring quality of service (QoS) violations is presented in this paper. The monitoring is performed by checking the actual services performance against the QoS stated in Service Level Agreement (SLA). Our approach monitors their QoS attributes and reveals early forecasts of violations in customers' demands. We verified the CUSUM and EWMA charts by utilizing several experiments and runtime data series from CLOUDSIM web services and validated our approach using a series of datasets from real-world web services.
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用于QoS违规统计检测的EWMA控制图
提出了一种基于指数加权移动平均(EWMA)图的服务质量(QoS)违规监测的简单统计方法。监控通过对照服务水平协议(SLA)中规定的QoS检查实际服务性能来执行。我们的方法监控他们的QoS属性,并揭示客户需求违规的早期预测。我们通过使用来自CLOUDSIM web服务的几个实验和运行时数据系列验证了CUSUM和EWMA图表,并使用来自真实web服务的一系列数据集验证了我们的方法。
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