• DocumentCode
    1670329
  • Title

    QoS Modeling and Automatic Generation from SoaML Service Models for Business Process Execution

  • Author

    Delgado, Andrea

  • Author_Institution
    Inst. de Comput., Univ. de la Republica, Montevideo, Uruguay
  • fYear
    2015
  • Firstpage
    522
  • Lastpage
    529
  • Abstract
    When Service Oriented applications and services are modeled, the term Quality of Service (QoS) is used to refer to the collection of constraints and quality requirements for a service. It is important that QoS attributes are specified in early stages of the development process, and modeled in a way that can be recognized and understood by all stakeholders. Regarding Service Oriented Architecture (SOA) modeling, QoS usually includes security, performance and availability. There are many options to realize business processes with services, such as collaborations with partners, internal services, third parties services (SaaS) among others. In previous works we have proposed the automatic generation of services specified in the Service Architecture Modeling Language (SoaML) from business processes, and the associated code. As SoaML allows to model functional requirements only, we have extended our proposal to also take into account QoS modeling and generation from SoaML service models, enriching the specification of services with quality characteristics.
  • Keywords
    Web services; quality of service; service-oriented architecture; QoS; QoS modeling; SOA modeling; SoaML service models; business process execution; internal services; quality of service; service architecture modeling language; service oriented architecture; third parties services; Computational modeling; Contracts; Quality of service; Standards; Time factors; Unified modeling language; Automated service generation; BPMN 2.0; QoS; SoaML; Web Services; business process; quality of service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing (SCC), 2015 IEEE International Conference on
  • Conference_Location
    New York, NY
  • Print_ISBN
    978-1-4673-7280-0
  • Type

    conf

  • DOI
    10.1109/SCC.2015.77
  • Filename
    7207395