A Survey on Web Service QoS Prediction Methods

被引:47
作者
Ghafouri, Seyyed Hamid [1 ]
Hashemi, Seyyed Mohsen [1 ]
Hung, Patrick C. K. [2 ]
机构
[1] Islamic Azad Univ, Sci & Res Branch, Comp Engn Dept, Tehran, Iran
[2] Univ Ontario Inst Technol, Fac Business & IT, Oshawa, ON, Canada
关键词
Quality of service; Web services; Clustering algorithms; Prediction methods; Collaboration; Web service; quality of wervice; QoS prediction; collaborative filtering; recommender system; GEOGRAPHICAL NEIGHBORHOOD; RECOMMENDATION; LOCATION; TRUST; QUALITY; CLOUD; ALGORITHM; FRAMEWORK; DRIVEN;
D O I
10.1109/TSC.2020.2980793
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Nowadays, there are many Web services with similar functionality on the Internet. Users consider Quality of Service (QoS) of the services to select the best service from among them. The prediction of QoS values of the Web services and recommendations of the best service based on these values to the users is one of the major challenges in the web service area. Major studies in this field use collaboration filtering based methods for prediction. The paper introduced prediction methods and divided them into three main categories: memory-based methods, model-based methods, and Collaborative Filtering (CF) methods combined with other methods. In each category, some of the most famous studies were introduced, and then the problems and benefits of each category were reviewed. Finally, we have a discussion about these methods and propose suggestions for future works.
引用
收藏
页码:2439 / 2454
页数:16
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