• DocumentCode
    2969940
  • Title

    Aggregation of Service Level Agreements in the Context of Business Processes

  • Author

    Unger, Tobias ; Leymann, Frank ; Mauchart, Stephanie ; Scheibler, Thorsten

  • Author_Institution
    Inst. of Archit. of Applic. Syst. (IAAS), Univ. of Stuttgart, Stuttgart
  • fYear
    2008
  • fDate
    15-19 Sept. 2008
  • Firstpage
    43
  • Lastpage
    52
  • Abstract
    One can observe that more and more companies are focusing on their core compenetency and are outsourcing parts or even complete business processes to service providers. Service Level Agreements (SLAs) are used as a contractual basis to define certain non-functional properties (e.g. response time) a service has to provide. To determine the SLA of a business process a priori, the SLAs of the invoked services need to be aggregated into a single SLA for the business process. This paper defines a method how a service provider can aggregate the SLAs of the individual services within a business process into a single SLA. This provides a service provider with the capability to annotate the service that the business process implements with an appropriate SLA. We propose a framework that helps in carrying out the SLA aggregation within business processes. The framework consists of two parts: (i) a formal model for SLAs and (ii) a concept to aggregate SLAs, where algorithms can be plugged in.
  • Keywords
    Web services; business data processing; contracts; business processes context; nonfunctional properties; service level agreements aggregation; service providers; Aggregates; Companies; Context-aware services; Delay; Human resource management; Insurance; Outsourcing; Remuneration; Service oriented architecture; Web services; Aggregation; BPEL; Business Processes; QoS; Quality of Service; SLA; Service Level Agreement; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Enterprise Distributed Object Computing Conference, 2008. EDOC '08. 12th International IEEE
  • Conference_Location
    Munich
  • ISSN
    1541-7719
  • Print_ISBN
    978-0-7695-3373-5
  • Type

    conf

  • DOI
    10.1109/EDOC.2008.29
  • Filename
    4634756