• DocumentCode
    1670382
  • Title

    Event-B Based Approach for Verifying Cloud Resource Allocation in Business Process

  • Author

    Boubaker, Souha ; Gaaloul, Walid ; Graiet, Mohamed ; Ben Hadj-Alouane, Nejib

  • Author_Institution
    Telecom SudParis, Samovar, France
  • fYear
    2015
  • Firstpage
    538
  • Lastpage
    545
  • Abstract
    Cloud environments are being increasingly used for deploying and executing business processes to provide a high level of performance with low operating cost. Nevertheless, due to the lack of explicit and formal description of the resource perspective in existing business processes, cloud resources cannot be efficiently and optimally managed. The aim of the present paper is to offer a formal definition of the resource perspective in business processes as a step towards ensuring correct and optimal Cloud resource allocation in business process modeling. Concretely, we propose a formalism based on the Event-B for specifying Cloud resource allocation policies in business process models. This formal specification is used to formally validate the consistency of Cloud resource allocation for process modeling at design time, and to analyze and check its correctness according to users needs and resource properties. In order to show its feasibility, our approach has been tested using a real use case study from an industrial partner.
  • Keywords
    business data processing; cloud computing; formal specification; formal verification; resource allocation; systems analysis; BPM; Event-B based approach; business process management; business process modelling; cloud resource allocation; formal description; Cloud computing; Computational modeling; Context; Context modeling; Resource management; Business Process Management; Cloud Computing; Model checking; Proof; Resource Management;
  • 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.2015.79
  • Filename
    7207397