Distributed ECA rules for data management policies

  • Authors:
  • Hao Xu;Arcot Rajasekar;Reagan W. Moore;Mike Wan

  • Affiliations:
  • DICE Center, University of North Carolina at Chapel Hill;DICE Center, University of North Carolina at Chapel Hill;DICE Center, University of North Carolina at Chapel Hill;Retired from DICE Center, University of California at San Diego

  • Venue:
  • RuleML'13 Proceedings of the 7th international conference on Theory, Practice, and Applications of Rules on the Web
  • Year:
  • 2013

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Abstract

Data management policies for a distributed system that handles "big data" usually require a core feature set provided by a rule framework. In this paper, we describe a viable core feature set, partially extending the event-condition-action framework, based on our experience in developing and applying the integrated Rule-Oriented Data-management System [1,2,3]. We attempt to formalize some aspects of this feature set, focusing on location-aware and asynchronous execution of rules, based on the Calculus of Concurrent Systems [4].