Fog-enabled Event Processing Based on IoT Resource Models

Yang Zhang, Victor S. Sheng

Research output: Contribution to journalArticlepeer-review


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
JournalIEEE Transactions on Knowledge and Data Engineering
StateAccepted/In press - Aug 27 2018


  • CEP
  • Data centers
  • Data models
  • Error analysis
  • Event detection
  • Fog Computing
  • Internet of Things
  • IoT Resource
  • Satisfiability Modulo Theories
  • Semantics
  • Sensors


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