Reactive rules-based dependency resolution for monitoring dynamic environments

  • Authors:
  • Dagan Gilat;Royi Ronen;Ron Rothblum;Guy Sharon;Inna Skarbovsky

  • Affiliations:
  • IBM Haifa Research Laboratory;IBM Haifa Research Laboratory;IBM Haifa Research Laboratory;IBM Haifa Research Laboratory;IBM Haifa Research Laboratory

  • Venue:
  • RuleML'05 Proceedings of the First international conference on Rules and Rule Markup Languages for the Semantic Web
  • Year:
  • 2005

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Abstract

Monitoring systems commonly use data dependencies and are very often required to have real-time, or near real-time, capabilities. Resolution of dependencies using a reactive rule engine is an evident choice, since it provides inherent real-time characteristics. We introduce the novel approach taken by Active Dependency Integration (ADI) technology in using reactive rules for dependency resolution, i.e., for the purpose of calculating an updated value using the value elements on which it depends. The salient property of this approach is that it demonstrates autonomic behavior. The set of reactive rules used for dependency resolution does not depend on the model for which it provides dependency resolution. The same rules handle every dependency model and support dynamic models, where elements may be added or deleted, without having to change any code or rule definitions, or stop the monitoring for manual system reconfiguration and redeployment. The rules are implemented in AMIT, an event-driven rule engine.