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General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2013 Vol.3(6): 509-514 ISSN: 2010-3697
DOI: 10.7763/IJMO.2013.V3.331

The Research on CEP Based on Query Rewriting for CPS

Kening Cao, Renfa Li, and Fengjuan Wang
Abstract—Now we are entering the era of ”Big Data”, and the important data source of which is Cyber Physical System (CPS) data, those data can hardly be processed by present data processing technology. Complex Event Processing (CEP) is the key part of middleware of CPS, which can process the big data, and context-awareness is an important feature of CEP engine. There are some challenges in context-aware complex event processing for CPS, such as heterogeneous, massive data, distributed event processing, uncertainly; therefore, we propose a distributed context-aware event processing method, based on context representation proposed fuzzy ontology and a distributed multi-level context reasoning method to support uncertainty and linguistic variables in event queries. Based on fuzzy ontology query and similarity based distributed reasoning, complex event query plans are generated and context-aware queries are rewritten into context independent sub-queries. Data window is partitioned according to different event patterns and context. The sub-queries are optimized and executed parallel based on data partition. The experiments show that this method can support fuzzy context in CEP and have acceptable performance and scalability.

Index Terms—CPS, complex event processing, context-aware, query rewriting

The authors are with College of Information Science and Engineering, Hunan University, Changsha, 410082, Hunan, China. (e-mail: 9462478@qq.com and wang_fengjuan31@163.com)

[PDF]

Cite:Kening Cao, Renfa Li, and Fengjuan Wang, "The Research on CEP Based on Query Rewriting for CPS," International Journal of Modeling and Optimization vol. 3, no. 6, pp. 509-514, 2013.

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