Fog-enabled Event Processing Based on IoT Resource Models

Yang Zhang; Victor S. Sheng

doi:10.1109/TKDE.2018.2867504

Fog-enabled Event Processing Based on IoT Resource Models

Yang Zhang, Victor S. Sheng

Computer Science

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

—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 language	English
Pages (from-to)	1707-1721
Number of pages	15
Journal	IEEE Transactions on Knowledge and Data Engineering
Volume	31
Issue number	9
DOIs	https://doi.org/10.1109/TKDE.2018.2867504
State	Published - Sep 2019

Keywords

CEP
IoT resource
fog computing
satisfiability modulo theories

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10.1109/TKDE.2018.2867504

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title = "Fog-enabled Event Processing Based on IoT Resource Models",

abstract = "—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.",

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AB - —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.

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KW - IoT resource

KW - fog computing

KW - satisfiability modulo theories

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JO - IEEE Transactions on Knowledge and Data Engineering

JF - IEEE Transactions on Knowledge and Data Engineering

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ER -

Fog-enabled Event Processing Based on IoT Resource Models

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Keywords

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