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  1. Proceedings of the Sixth International Workshop on Data Management for Sensor Networks (DMSN '09)
  2. Class-based continuous query scheduling for data streams
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Swiss experiment: from wireless sensor networks to sensor data management
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Adaptive random sensor selection for field reconstruction in wireless sensor networks

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Class-based continuous query scheduling for data streams

Content Provider ACM Digital Library
Author Pham, Thao N. Chrysanthis, Panos K. Neophytou, Panayiotis Labrinidis, Alexandros Moakar, Lory Al Sharaf, Mohamed
Abstract Wireless sensor networks link the physical and digital worlds enabling both surveillance as well as scientific exploration. In both cases, on-line detection of interesting events can be accomplished with continuous queries (CQs) in a Data Stream Management System (DSMS). However, the quality-of-service requirements of detecting these events are different for different monitoring applications. The CQs for detecting anomalous events (e.g., fire, flood) have stricter response time requirements over CQs which are for logging and keeping statistical information of physical phenomena. In this work, we are proposing the Continuous Query Class (CQC) scheduler, a new scheduling policy which employs two-level scheduling that is able to handle different ranks of CQ classes. It provides the lowest response times for classes of critical CQs, while at the same time keeping reasonable response times for the other classes down the rank. We have implemented CQC in the AQSIOS prototype DSMS and evaluated it against existing scheduling policies under different workloads.
Starting Page 1
Ending Page 6
Page Count 6
File Format PDF
ISBN 9781605587776
DOI 10.1145/1594187.1594199
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-08-24
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Operator scheduling User-centric Priority Continuous queries Data stream management system
Content Type Text
Resource Type Article
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