A CPN Provenance Model of Workflow: Towards Diagnosis in the Cloud

نویسندگان

  • Yingmin Li
  • Omar Boucelma
چکیده

Workflow provenance is an important supportive component that encompasses knowledge sharing, product reusability and process verification. The emerging cloud computing paradigm offers new application opportunities but also raises research challenges, such as integrity, privacy, security and legal related issues. In this paper, we propose a Colored Petri Net (CPN) model for diagnosis based on Open Provenance Model (OPM). An illustrative application is presented: a workflow is expressed as a composition of services deployed in the Cloud, and security is implemented by means of Web Service Security policies (WS-S).

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تاریخ انتشار 2011