• DocumentCode
    1912828
  • Title

    A User Requirement-Driven Service Dynamic Personalized QoS Model

  • Author

    Gao, Yan ; Zhang, Bin ; Shi, Shao-wei ; Zhu, Hong-ning ; Na, Jun ; Zhou, Fu-cai

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2010
  • fDate
    18-25 July 2010
  • Firstpage
    17
  • Lastpage
    23
  • Abstract
    In Web Services composition, effectively appraising of QoS of Web Services is a main method of service selecting. Most of current QoS models do not consider the uncertainty, subjectivity, interacting and business relativity of the non-functional attributes of services. And they lack of the deep and thorough analysis of user requirements. Thus they are not able to provide sufficient support to service personalization, and they are lack of dynamic adaptability of constraints. By efficiently considering the impact on QoS model of the non-functional attributes of Web Services, this paper generates a personalized QoS model of a single service, and a dynamic personalized QoS appraise model, based on service effectiveness. The user requirement-driven service dynamic personalized QoS model proposed by this paper provides exquisite and appropriate appraise for the QoS of the whole composition flow. The analysis of the scenario shows that the method proposed in this paper is able to appraise Web Services more accurately and effectively.
  • Keywords
    Web services; quality of service; Web services composition; business relativity; dynamic adaptability; service personalization; user requirement-driven service dynamic personalized QoS model; Adaptation model; Analytical models; Business; Compounds; Quality of service; Unified modeling language; Web services; Composite Web Services; Dynamic Personalized QoS Model; QoS Model; Quality of Services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependability (DEPEND), 2010 Third International Conference on
  • Conference_Location
    Venice
  • Print_ISBN
    978-1-4244-7530-8
  • Type

    conf

  • DOI
    10.1109/DEPEND.2010.11
  • Filename
    5562852