NDLI: Multiple Continuous Queries Optimization for Processing RFID Streaming Data

Content Provider	IEEE Xplore Digital Library
Author	Haipeng Zhang Wooseok Ryu Yongxu Piao Bonghee Hong
Copyright Year	2010
Abstract	This paper investigates the problem of processing multiple continuous queries over RFID streaming data in RFID middleware. RFID middleware collects and filters RFID sensing data which is continuously generated by RFID readers to process user registered queries. These queries are continuously executed over the incoming tag data to get the matched data. A large number of these queries may be executed simultaneously over a high throughput of incoming data that may deteriorate system performance and cause reporting delay. In order to enhance the performance of middleware, we propose a multiple continuous queries optimization method for RFID middleware, which is based on query execution conditions and filter conditions analysis. Continuous queries having close execution time and large overlapped time intervals are clustered together and an optimal query execution plan is generated for each cluster.
Starting Page	355
Ending Page	357
File Size	458395
Page Count	3
File Format	PDF
ISBN	9781769540122
e-ISBN	9781424466009
DOI	10.1109/APWeb.2010.46
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-06
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Filters Filtering Query processing Subscriptions Application software Data mining Continuous query optimization Middleware RFID tags Delay RFID middleware Radiofrequency identification
Content Type	Text
Resource Type	Article

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