Title
New Parallel Processing Strategies In Complex Event Processing Systems With Data Streams
Abstract
Sensor network-based application has gained increasing attention where data streams gathered from distributed sensors need to be processed and analyzed with timely responses. Distributed complex event processing is an effective technology to handle these data streams by matching of incoming events to persistent pattern queries. Therefore, a well-managed parallel processing scheme is required to improve both system performance and the quality-of-service guarantees of the system. However, the specific properties of pattern operators increase the difficulties of implementing parallel processing. To address this issue, a new parallelization model and three parallel processing strategies are proposed for distributed complex event processing systems. The effects of temporal constraints, for example, sliding windows, are included in the new parallelization model to enable the processing load for the overlap between windows of a batch induced by each input event to be shared by the downstream machines to avoid events that may result in wrong decisions. The proposed parallel strategies can keep the complex event processing system working stably and continuously during the elapsed time. Finally, the application of our work is demonstrated using experiments on the StreamBase system regardless of the increased input rate of the stream or the increased time window size of the operator.
Year
DOI
Venue
2017
10.1177/1550147717728626
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
Keywords
Field
DocType
Complex event processing, data stream, pattern operator, parallel processing, sensor network
Data stream mining,Data stream,Computer science,Parallel processing,Complex event processing,Wireless sensor network,Distributed computing
Journal
Volume
Issue
ISSN
13
8
1550-1477
Citations 
PageRank 
References 
10
0.55
11
Authors
5
Name
Order
Citations
PageRank
Fuyuan Xiao120119.11
Cheng Zhan21177.70
Hong Lai3197.05
li tao4326.02
Zhiguo Qu5262.08