• DocumentCode
    1970362
  • Title

    A Framework for Web Service Usage Profiles Discovery

  • Author

    Vollino, Bruno ; Becker, Kurt

  • Author_Institution
    Inst. de Inf., Univ. Fed. do Rio Grande do Sul, Porto Alegre, Brazil
  • fYear
    2013
  • fDate
    June 28 2013-July 3 2013
  • Firstpage
    115
  • Lastpage
    122
  • Abstract
    As part of web services life-cycle, providers frequently face decision about changes without a clear understanding of the impact on their clients. The identification of clients´ consumption patterns constitute invaluable information to support more effective decisions. In this paper, we present a framework that supports the discovery of service usage profiles, to bring awareness on the distinct groups of consumers, and their usage characterization in terms of detailed service functionality. The framework encompasses monitoring of clients requests, constituting a general purpose Usage Database, and a process to cluster client applications and derive usage profiles. The paper details the framework and presents experiments.
  • Keywords
    DP industry; Web services; cloud computing; data mining; database management systems; pattern clustering; SaaS paradigm; Web service life-cycle; Web service usage profiles discovery; client request monitoring; clients consumption pattern identification; software industry; software-as-a-service paradigm; usage characterization; usage database; Clustering algorithms; Data mining; Databases; Feature extraction; Measurement; Monitoring; Web services; data mining; service usage; web service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Services (ICWS), 2013 IEEE 20th International Conference on
  • Conference_Location
    Santa Clara, CA
  • Print_ISBN
    978-0-7695-5025-1
  • Type

    conf

  • DOI
    10.1109/ICWS.2013.25
  • Filename
    6649569