• 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