• DocumentCode
    3078396
  • Title

    Cloud Service Recommendation: State of the Art and Research Challenges

  • Author

    Guo, Lantian ; Xianrong Zheng ; Chen Ding ; Dejun Mu ; Zhe Li

  • Author_Institution
    Sch. of Autom., Northwestern Polytech. Univ., Xi´an, China
  • fYear
    2015
  • fDate
    4-7 May 2015
  • Firstpage
    761
  • Lastpage
    764
  • Abstract
    Cloud computing is an attractive platform which offers on-demand resources as services. When many cloud services are available, some may have similar or same functionalities. So cloud service recommendation, which can help users to select the services based on their preferences, become an important technique for cloud services. In this paper, we review the relevant technologies that can perform cloud service recommendation. First, we introduce the web service selection and recommendation technologies. Next, we describe QoS measurement for cloud service and different recommendation methods focusing on Collaborative filtering. Third, we discuss the research challenges and opportunities for cloud service recommendation.
  • Keywords
    Web services; cloud computing; collaborative filtering; quality of service; recommender systems; QoS measurement; Web service recommendation technologies; Web service selection; cloud computing; cloud service recommendation; collaborative filtering; Cloud computing; Collaboration; Computational modeling; Predictive models; Quality of service; Reliability; Cloud computing; QoS measurement; collaborative filtering; service recommendation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/CCGrid.2015.144
  • Filename
    7152551