A collaborative scheduling approach for service-driven scientific workflow execution

  • Authors:

  • Wanchun Dou;J. Leon Zhao;Shaokun Fan

  • Affiliations:

  • State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, China and Department of Computer Science and Technology, Nanjing University, Nanjing 210093, China;Department of Information Systems, City University of Hong Kong, Kowloon, Hong Kong SAR, China;MIS Department, University of Arizona, Tucson, AZ 85721, USA

  • Venue:
  • Journal of Computer and System Sciences
  • Year:
  • 2010

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Abstract

Scientific workflow execution often spans multiple self-managing administrative domains to obtain specific processing capabilities. Existing (global) analysis techniques tend to mandate every domain-specific application to unveil all private behaviors for scientific collaboration. In practice, it is infeasible for a domain-specific application to disclose its process details (as a private workflow fragment) for privacy or security reasons. Consequently, it is a challenging endeavor to coordinate scientific workflows and its distributed domain-specific applications. To address this problem, we propose a collaborative scheduling approach that can deal with temporal dependencies between a scientific workflow and a private workflow fragment. Under this collaborative scheduling approach, a private workflow fragment could maintain the temporal consistency with a scientific workflow in resource sharing and task enactments. Further, an evaluation is also presented to demonstrate the proposed approach for coordinating multiple scientific workflow executions in a concurrent environment.