QoS Ranking Prediction for Cloud Services
Publication in refereed journal


引用次數
替代計量分析
.

其它資訊
摘要Cloud computing is becoming popular. Building high-quality cloud applications is a critical research problem. QoS rankings provide valuable information for making optimal cloud service selection from a set of functionally equivalent service candidates. To obtain QoS values, real-world invocations on the service candidates are usually required. To avoid the time-consuming and expensive real-world service invocations, this paper proposes a QoS ranking prediction framework for cloud services by taking advantage of the past service usage experiences of other consumers. Our proposed framework requires no additional invocations of cloud services when making QoS ranking prediction. Two personalized QoS ranking prediction approaches are proposed to predict the QoS rankings directly. Comprehensive experiments are conducted employing real-world QoS data, including 300 distributed users and 500 real-world web services all over the world. The experimental results show that our approaches outperform other competing approaches.
著者Zheng ZB, Wu XM, Zhang YL, Lyu MR, Wang JM
期刊名稱IEEE Transactions on Parallel and Distributed Systems
出版年份2013
月份6
日期1
卷號24
期次6
出版社Institute of Electrical and Electronics Engineers (IEEE)
頁次1213 - 1222
國際標準期刊號1045-9219
電子國際標準期刊號1558-2183
語言英式英語
關鍵詞cloud service; personalization; Quality-of-service; ranking prediction
Web of Science 學科類別Computer Science; Computer Science, Theory & Methods; COMPUTER SCIENCE, THEORY & METHODS; Engineering; Engineering, Electrical & Electronic; ENGINEERING, ELECTRICAL & ELECTRONIC

上次更新時間 2020-27-10 於 00:30