NDLI: Detecting Stream Events in Distributed Streams

Content Provider	IEEE Xplore Digital Library
Author	Jiajia Miao Zhuxi Zhang Zhijian Yuan Yan Jia Quanyuan Wu
Copyright Year	2008
Description	Author affiliation: Sch. of Comput., Nat. Univ. of Defense Technol., Changsha (Jiajia Miao; Zhijian Yuan; Yan Jia; Quanyuan Wu) \|\| Gen. Logistics Res. Inst., Beijing (Zhuxi Zhang)
Abstract	Events detection is one of the most important issues in data stream processing. Outlier event, change event and burst event are three typical types of event that need to be identified. In this paper, we explore the relationship of these three types of events, and then present a unified framework, named DSED (distributed stream events detection), to handle all of them simultaneously. Rather than collecting all the data in one coordinator node for centralized processing, we also use pre-computing to reduce the communication cost for events detection. Experiment results verify the efficiency of DSED, and also show that our proposed framework can dramatically reduce the communication cost with little false position.
Starting Page	81
Ending Page	86
File Size	339844
Page Count	6
File Format	PDF
ISBN	9781424434305
DOI	10.1109/FGCNS.2008.153
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Costs Event detection Data security Conferences Computer networks Internet Data mining Distributed computing Monitoring Logistics
Content Type	Text
Resource Type	Article

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