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Using Control Theory for Load Shedding in Data Stream Management

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5 Author(s)
Yi-Cheng Tu ; Department of Computer Sciences, Purdue University, 305 N. University St., West Lafayette, Indiana, USA, tuyc@cs.purdue.edu ; Song Liu ; Sunil Prabhakar ; Bin Yao
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Database performance can be greatly affected by environmental and internal dynamics such as workloads and system configurations. Existing strategies to maintain performance under such dynamics are often found to have poor robustness. To remedy this problem, we propose a systematic solution that takes advantages of formal feedback control techniques. In this demo, we show how the control-based solution derived from a dynamic DSMS model can be utilized to guide load shedding with the target of maintaining data processing delays.

Published in:

2007 IEEE 23rd International Conference on Data Engineering

Date of Conference:

15-20 April 2007