An approach to discovering event correlations among edge sensor services. (18th April 2020)

• Record Type: Journal Article
• Authors: Liu, Chen; Cao, Yunmeng; Han, Yanbo
• Is Part Of: International journal of internet manufacturing and services. Volume 7:Number 4(2020)
• Page Start: 358
• Page End: 374
• Publication Date: 2020-04-18
• Subjects: fog computing -- sensor data -- event correlation -- proactive data service -- service hyperlinks; Computer integrated manufacturing systems -- Periodicals; Internet -- Periodicals; 670.2854678
• Languages: English
• ISSNs: 1751-6048

Abstract

In an IoT environment, a surge in sensor data volume has exposed the shortcomings of cloud computing, particularly the limitation of network transmission capability and centralised computing resources. To handle these issues, this paper proposes a service-oriented framework, called as INFOG, to support the dynamic cooperation among sensors with the fog computing paradigm. Proactive data services and service hyperlinks, which are our previous work, are two key abstractions for the INFOG framework. The services are software-defined abstraction of physical sensors. They are deployed in edge nodes in INFOG. And service hyperlinks, encapsulation of service correlations, enable the cooperation of sensors at the software layer. We also propose a frequent sequential pattern-based approach to effectively discover service hyperlinks. Based on the dataset from a real power plant as well as several synthetic datasets, we do lots of experiments to verify the effectiveness and efficiency of our algorithm.