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2017 | OriginalPaper | Buchkapitel

An Approach to Modeling and Discovering Event Correlation for Service Collaboration

verfasst von : Meiling Zhu, Chen Liu, Jianwu Wang, Shen Su, Yanbo Han

Erschienen in: Service-Oriented Computing

Verlag: Springer International Publishing

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Abstract

In an IoT (Internet of Things) environment, event correlation becomes more complex as events usually span over many interrelated sensors. This paper refines event correlations in an IoT environment. We extend our previous service hyperlink model to encapsulate such event correlations. To effectively discover service hyperlinks, we transform the event correlation discovery problem into a frequent sequence mining problem and propose CorFinder algorithm. Moreover, we apply our approach to improve anomaly warning in a power plant instead of simulation. Besides the application, we have made extensive experiments to verify the effectiveness of our approach.

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Metadaten
Titel
An Approach to Modeling and Discovering Event Correlation for Service Collaboration
verfasst von
Meiling Zhu
Chen Liu
Jianwu Wang
Shen Su
Yanbo Han
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-69035-3_13

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