A fuzzy model for calculating workflow trust using provenance data

  • Authors:

  • Shrija Rajbhandari;Omer F. Rana;Ian Wootten

  • Affiliations:

  • Cardiff University, Cardiff, U.K.;Cardiff University, Cardiff, U.K.;Cardiff University, Cardiff, U.K.

  • Venue:
  • Proceedings of the 15th ACM Mardi Gras conference: From lightweight mash-ups to lambda grids: Understanding the spectrum of distributed computing requirements, applications, tools, infrastructures, interoperability, and the incremental adoption of key capabilities
  • Year:
  • 2008

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Abstract

Workflow forms a key part of many existing Service Oriented applications, involving the integration of services that may be made available at distributed sites. It is possible to distinguish between an "abstract" workflow description - outlining which services must be involved in a workflow execution - and a "physical" workflow description - outlining the particular instance of services that were used in a particular enactment. Provenance information provides a useful way to capture the physical workflow description automatically, especially if this information is captured in a standard format. Subsequent analysis of this provenance information may be used to evaluate whether the abstract workflow description has been adhered to, and to enable a user executing a workflow-based application to establish "trust" in the outcome; trust, in this context, is an abstract mathematical construct that can be computed using provenance information. Performing analysis on such provenance information, we propose a fuzzy model for calculating trust based on an enacted workflow.