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.
