Presentation 2002/10/10
Scheduling Policy Considering Data Freshness and Real-Time Response
Hideyuki KAWASHIMA, Motomichi TOYAMA, Michita IMAI, Yuichiro ANZAI,
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Abstract(in English) To provide persitence for sensor data streams, we have proposed the Light-Neighbor-WAL(L-WAL) and the Temporal Consistency Conscious-WAL(T-WAL). We have acquired the result that the T-WAL is superior to the L-WAL in the sense of appending time, however it is inferior to the L-WAL in the sense of the freshness of data. This would be incurred by the scheduling policy of transactions that is not conscious to the freshness of data. In this paper, we propose a new scheduling algorithm that considers both freshness of data and response time. The proposed policy would enhance the freshness of data and the response time by notifying monitored sensor data streams to the scheduler.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Sensor Data Stream / Persistence / Freshness of Data / Response Time
Paper # DC2002-89
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Committee DE
Conference Date 2002/10/10(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Scheduling Policy Considering Data Freshness and Real-Time Response
Sub Title (in English)
Keyword(1) Sensor Data Stream
Keyword(2) Persistence
Keyword(3) Freshness of Data
Keyword(4) Response Time
1st Author's Name Hideyuki KAWASHIMA
1st Author's Affiliation School of Science for Open and Environmental Systems, Faculty of Science and Technology, Keio University()
2nd Author's Name Motomichi TOYAMA
2nd Author's Affiliation Information and Computer Science, Faculty of Science and Technology, Keio University
3rd Author's Name Michita IMAI
3rd Author's Affiliation Information and Computer Science, Faculty of Science and Technology, Keio University
4th Author's Name Yuichiro ANZAI
4th Author's Affiliation Information and Computer Science, Faculty of Science and Technology, Keio University
Date 2002/10/10
Paper # DC2002-89
Volume (vol) vol.102
Number (no) 375
Page pp.pp.-
#Pages 6
Date of Issue