Fog-enabled Event Processing Based on IoT Resource Models

Yang Zhang, Victor S. Sheng

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


—Complex Event Processing (CEP) systems extract interest situations from event flows based on event detection patterns. However, local event processing for distributed Internet of Things (IoT) has not been discussed yet. Besides, it is complex or impossible to discover such patterns in some applications of IoT. In this article, we design a complex event service to process event flows based on IoT resource models, which does not depend on existing patterns, and deals with both discrete events and continuous variables. To improve the CEP performance, local IoT resources are used for local event processing, and a lazy exchange method is designed to realize the collaborated event processing between network edges and a data center. Our evaluation shows that our solution is feasible and effective.

Original languageEnglish
Pages (from-to)1707-1721
Number of pages15
JournalIEEE Transactions on Knowledge and Data Engineering
Issue number9
StatePublished - Sep 2019


  • CEP
  • IoT resource
  • fog computing
  • satisfiability modulo theories


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