NDLI: Query Optimization over Distributed Data Stream

Content Provider	IEEE Xplore Digital Library
Author	Shuang Wang Zhenhua Tan Xiaoxing Gao
Copyright Year	2009
Abstract	Recent research efforts in the fields of data stream processing show the increasing importance of processing data streams, e.g., in the e-science domain. Together with the advent of peer-to-peer (P2P) networks and grid computing, this leads to the necessity of developing new techniques for distributing and processing continuous queries over data streams in such networks. These systems often have to process multiple similar but different continuous aggregation queries simultaneously. Since executing each query separately can lead to significant scalability and performance problems, it is vital to share resources by exploiting similarities in the queries. The challenge is to identify overlapping computations that may not be obvious in the queries themselves. In this paper, we propose a novel algorithmic solution for problem of finding the minimum number of queries in such a distributed-streams setting, in order to optimize the communicate cost across the network. The experiment result show that our approach gives us as much as magnitude performance improvement over the no-share settings.
Starting Page	415
Ending Page	418
File Size	257413
Page Count	4
File Format	PDF
ISBN	9780769537450
DOI	10.1109/HIS.2009.198
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	multi-query optimization group by query Scalability Telecommunication traffic distributed system Routing aggregation data stream Condition monitoring Wireless sensor networks Query processing Aggregates System performance Network-on-a-chip Cost function
Content Type	Text
Resource Type	Article

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