EWMA control charts for statistical detecting QoS violations

被引：0

作者：

Lu, Shin-Li ^{[1
]}

Tsai, Chen-Fang ^{[1
]}

Chen, Jen Hsiang ^{[2
]}

机构：

[1] Aletheia Univ, Dept Ind Management & Enterprise Informat, New Taipei, Taiwan

[2] Shih Chien Univ, Dept Informat Management, Kaohsiung Campus, Taipei, Taiwan

来源：

2015 IEEE 12TH INTERNATIONAL CONFERENCE ON E-BUSINESS ENGINEERING (ICEBE) | 2015年

关键词：

EWMA charts; Quality of service; Service Level Agreement;

D O I：

10.1109/ICEBE.2015.41

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：198 / 202

页数：5

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