Presentation	2005-07-14 Workload-Tendency-Based Adaptive Scheduling for Shared Window Joins Naotake TADA, Masayoshi ARITSUGI,
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Abstract(in English)	There is increasing interest in continuous query engines that process data stream. We have presented a scheduling method of shared window joins, called MandF, which chooses between two scheduling methods according to workload. In order to decide whether the workload is high or low, MandF compares the static threshold with measured workload. In this paper, we propose Adaptive MandF where the threshold is set dynamically. Adaptive MandF enables us to find which method is suited to the environment at a given time.
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Keyword(in English)	Stream / Continuous Query / Window join / Scheduling
Paper #	DE2005-78
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Committee	DE
Conference Date	2005/7/7(1days)
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Paper Information
Registration To	Data Engineering (DE)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Workload-Tendency-Based Adaptive Scheduling for Shared Window Joins
Sub Title (in English)
Keyword(1)	Stream
Keyword(2)	Continuous Query
Keyword(3)	Window join
Keyword(4)	Scheduling
1st Author's Name	Naotake TADA
1st Author's Affiliation	Department of Computer Science, Graduate School of Engineering, Gunma University()
2nd Author's Name	Masayoshi ARITSUGI
2nd Author's Affiliation	Department of Computer Science, Faculty of Engineering, Gunma University
Date	2005-07-14
Paper #	DE2005-78
Volume (vol)	vol.105
Number (no)	172
Page	pp.pp.-
#Pages	6
Date of Issue