计算机应用研究2016，Vol.33Issue(11)：3311-3314,3333,5.DOI:10.3969/j.issn.1001--3695.2016.11.025
一种轻量级的Web服务QoS预测机制
Lightweight prediction mechanism for Web service QoS
摘要
Abstract
QoS as the representative of the Web service non-functional properties has been widely used as an important basis in service selection.However,the existing QoS prediction methods can hardly guarantee the efficiency and prediction accuracy at the same time,and generally ignore the server-side QoS prediction.This paper proposed a lightweight prediction mechanism (LPM)for server-side environment.Based on Kalman filtering,LPM built QoS state transition model to periodically generate QoS predicted value,and measured prediction accuracy to optimize the prediction period.Simulations show that LPMhas bet-ter prediction accuracy compared to conventional method in the environment with significant measurement noise.The output of the QoS predicted value can provide primary objective reference basis for users to select Web services.关键词
Web服务/服务质量预测/服务器端/卡尔曼滤波Key words
Web service/QoS prediction/server-side/Kalman filtering分类
信息技术与安全科学引用本文复制引用
李国盛,王娜..一种轻量级的Web服务QoS预测机制[J].计算机应用研究,2016,33(11):3311-3314,3333,5.基金项目
国家“863”计划资助项目（2012AA012704）；信息保障技术重点实验室开放基金课题 （）
