An Efficient Filter Operator Ordering Technology in Stream Data Environments 


Vol. 15,  No. 2, pp. 163-170, Apr.  2008
10.3745/KIPSTD.2008.15.2.163


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  Abstract

Due to the proliferation of the Internet and intranet, a new application domain called stream data processing has emerged. Stream data is real-timely and continuously generated. In this paper, we focus on the processing of stream data whose characteristics vary unpredictably by over time. Particularly, we suggest a method which generates an efficient operator execution order called WT-Heuristics. WT-Heuristics efficiently determines the operator execution order since it considers only two adjacent operators in the operator execution order. Also, our method changes the execution order with respect to the change of data characteristics with minimum overheads.

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[IEEE Style]

J. K. Min, "An Efficient Filter Operator Ordering Technology in Stream Data Environments," The KIPS Transactions:PartD, vol. 15, no. 2, pp. 163-170, 2008. DOI: 10.3745/KIPSTD.2008.15.2.163.

[ACM Style]

Jun Ki Min. 2008. An Efficient Filter Operator Ordering Technology in Stream Data Environments. The KIPS Transactions:PartD, 15, 2, (2008), 163-170. DOI: 10.3745/KIPSTD.2008.15.2.163.

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