SLA-Oriented Research on Prediction and Evaluation of Service Components Performance

摘要：

　　The application services which deployed in cloud environment have some characteristics, such as the variability of concurrent requests and the differences of resource demands among components, which bring certain influence on service performance even cause some potential problems.Therefore,making an effective service performance prediction mechanism has become a research hotspot for application services based cloud service components.This paper proposes SLA-oriented research on prediction of service component and introduces the fundamental process of performance prediction, it adopts the non-negative matrix factorization method for performance prediction and makes an evaluation on component performance.The experiment result indicates the method in this paper is feasible and valid, and the accuracy is higher than the traditional approaches.

关键词： cloud service component performance prediction non-negative matrix factorization response time sequence

作者: GUO Jun YAN Yongming ZHANG Bin MA Qingrnin

作者单位: College of Information Science and Engineering Northeastern University Shenyang, China

会议类型: 国际会议

会议名称: The 12th Web Information System and Application Conference第十二届全国Web信息系统及其应用学术会议(WISA2015)、全国第十次语义Web 与本体论学术研讨会(SWON2015)、全国第九次电子政务技术及应用学术研讨会(EGTA2015)

会议地点: 济南

会议语种:英文

页码: 136-141

在线出版日期: 2015-09-11（万方平台首次上网日期，不代表论文的发表时间）