• DocumentCode
    2512271
  • Title

    A System Dynamics Approach to Web Service Capacity Management

  • Author

    Orta, Elena ; Ruiz, Mercedes ; Toro, Miguel

  • Author_Institution
    Dept. of Comput. Languages & Syst., Univ. of Cadiz, Cadiz, Spain
  • fYear
    2009
  • fDate
    9-11 Nov. 2009
  • Firstpage
    109
  • Lastpage
    117
  • Abstract
    This paper presents a dynamic simulation model applied within the field of web services capacity management. The main purpose of the model is to help manage the web services capacity that providers assign their customers accordingly so as to ensure the fulfillment of the Service Level Agreements (SLAs) established.Therefore, the model allows for the analysis of the effects of different web services capacity management polices on the service performance and on the penalties to be assumed by providers for non-compliance with the response times agreed with their customers. The main aims of the sensitivity analysis carried out in the case study of this research paper are as follows: (1) to assess the fulfillment of the SLAs according to the web service capacity contracted by the customer, (2) to determine the lowest web service capacity and those capacity management parameters that ensure that the actual service performance is the one that has been agreed on (3) to evaluate the penalties that the web service provider should assume for non-compliance with response times.
  • Keywords
    Web services; Web service capacity management; Web service provider; sensitivity analysis; service level agreements; service performance; Computational modeling; Computer languages; Conference management; Delay; Performance analysis; Quality management; Quality of service; Service oriented architecture; Technology management; Web services; capacity management; simulation modeling; web service management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Services, 2009. ECOWS '09. Seventh IEEE European Conference on
  • Conference_Location
    Eindhoven
  • Print_ISBN
    978-0-7695-3854-9
  • Type

    conf

  • DOI
    10.1109/ECOWS.2009.20
  • Filename
    5341660