Presentation 2004/7/7
Adaptively Improving Average Response Time of Pub/Sub System Based on Extended R-Tree Search Algorithm with Multiple Inputs
Botao WANG, Wang ZHANG, Masaru KITSUREGAWA,
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Abstract(in English) publish/subscribe system captures the dynamic aspect of the specified information by notifying users of interesting events as soon as possible. Generally the rate of event arriving is time varying and unpredictable. It is very possible that no event arrives in an unit time and multiple events arrive in another unit time. When multiple events arrive at same time, the average response time of events filtering depends on the sequence of filtering events which have different workloads. In this paper, we first propose an event filtering algorithm with multiple inputs (multiple events) based on R-tree. With information of relative workload of each event, event by event filtering can be executed with short-job first policy which improves average response time of multiple jobs. Further a self-adaptive model is proposed and evaluated to filter set of events with different sizes on dynamically changed index.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Publish/Subscribe / Event Filtering / Multiple Inputs / R-tree
Paper # DE2004-58
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Committee DE
Conference Date 2004/7/7(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Adaptively Improving Average Response Time of Pub/Sub System Based on Extended R-Tree Search Algorithm with Multiple Inputs
Sub Title (in English)
Keyword(1) Publish/Subscribe
Keyword(2) Event Filtering
Keyword(3) Multiple Inputs
Keyword(4) R-tree
1st Author's Name Botao WANG
1st Author's Affiliation Institute of Industrial Science, The University of Tokyo()
2nd Author's Name Wang ZHANG
2nd Author's Affiliation Institute of Industrial Science, The University of Tokyo
3rd Author's Name Masaru KITSUREGAWA
3rd Author's Affiliation Institute of Industrial Science, The University of Tokyo
Date 2004/7/7
Paper # DE2004-58
Volume (vol) vol.104
Number (no) 177
Page pp.pp.-
#Pages 6
Date of Issue