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http://dx.doi.org/10.3745/KIPSTD.2007.14-D.3.273

A Transformation Scheme for Continuous Queries on RFID Streaming Data  

Park, Jae-Kwan (부산대학교 컴퓨터공학과)
Hong, Bong-Hee (부산대학교 컴퓨터공학과)
Ban, Chae-Hoon (경남정보대학 인터넷응용계열)
Publication Information
The KIPS Transactions:PartD / v.14D, no.3, 2007 , pp. 273-284 More about this Journal
Abstract
RFID middleware systems collect and filter the RFID streaming data gathered continuously by numerous readers in order to process requests from applications. These requests are called continuous queries because they are kept on executing during certain periods. To enhance the performance of the middleware, it is required to build an index to process the continuous queries efficiently. Several approaches of building an index on not data records but queries, called Query Index, are proposed and widely used for evaluating continuous queries over streaming data. The EPCglobal proposed an Event Cycle Specification (ECSpec) model, which is a standard query interface for RFID applications. Continuous queries based on ECSpec consist of a large number of segments for representing the query conditions. The problem with using any of the existing query indexes on these continuous queries is that it takes a long time to build the index because it is necessary to insert a large number of segments into the index. To solve this problem, we propose an Aggregate Transformation that converts a group of segments into a compressed data which is representative of the segments. We compare the performance of a transformed index with the existing query indexes.
Keywords
Stream Data Process; Continuous Query; Query Index;
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