DocumentCode
1762707
Title
Guest Editorial: Recommendation Techniques for Services Computing and Cloud Computing
Author
Lyu, Michael R. ; Zhang, Liang-Jie LJ
Author_Institution
Shenzhen Research Institute
Volume
8
Issue
3
fYear
2015
fDate
May-June 1 2015
Firstpage
422
Lastpage
424
Abstract
As the number of Web services surges rapidly, recommending the right service for various users on demand has become one of the most challenging research issues in the fields of services computing and cloud computing. This special issue focuses on the recommendation techniques for services computing and cloud computing including classic recommendation algorithms for services computing and cloud computing, emerging recommendation techniques for service selection and composition, and applications of recommendation techniques in composition of complex service mashups, ad-hoc social networks, and green cloud environment. The papers introduced in this special issue illustrate the efficiency and effectiveness of services computing and cloud computing, while demonstrating a variety of challenges that arise. It is expected that this special issue, as a whole, will provide integrated and synthesized view of the current state of the art, identify key challenges, possible research directions and opportunities for investigation, and promote community-building efforts among researchers and practitioners in the related fields.
Keywords
Quality-of-Service; Recommendation technique; cloud computing; services computing;
fLanguage
English
Journal_Title
Services Computing, IEEE Transactions on
Publisher
ieee
ISSN
1939-1374
Type
jour
DOI
10.1109/TSC.2015.2428791
Filename
7123023
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