PLMwsp: Probabilistic latent model for web service QoS prediction

Bobaker Mohamed A Madi, Quan Z. Sheng, Lina Yao, Yongrui Qin, Xianzhi Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

With the unprecedented and dramatic development of Web services in recent years, designing novel approaches for efficient Web service prediction has become of paramount importance. Quality of Service (QoS) plays a critical role in Web service recommendation. However determining QoS values of Web services is still a challenging task. For example, some QoS properties (e.g., response time, throughput) may hold different values for different users. In this paper, we describe how to develop a novel approach, PLMwsp, based on a probabilistic latent model, to predict effectively the QoS values of Web services. A Web service prediction has been developed, and experiments have been conducted to show the efficacy of our approach.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE International Conference on Web Services, ICWS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages623-630
Number of pages8
ISBN (Electronic)9781509026753
DOIs
Publication statusPublished - 31 Aug 2016
Event23rd IEEE International Conference on Web Services - San Francisco, United States
Duration: 27 Jun 20162 Jul 2016
Conference number: 23

Conference

Conference23rd IEEE International Conference on Web Services
Abbreviated titleICWS 2016
CountryUnited States
CitySan Francisco
Period27/06/162/07/16

Fingerprint Dive into the research topics of 'PLMwsp: Probabilistic latent model for web service QoS prediction'. Together they form a unique fingerprint.

Cite this