Using Control Theory for Load Shedding in Data Stream Management
Yi-Cheng Tu
Song Liu
Prabhakar, S.
Bin Yao
Schroeder, W.
Dept. of Comput. Sci., Purdue Univ., West Lafayette, IN;
This paper appears in: Data Engineering, 2007. ICDE 2007. IEEE 23rd International Conference on
Publication Date: 15-20 April 2007
On page(s): 1491-1492
Location: Istanbul,
ISBN: 1-4244-0803-2
INSPEC Accession Number: 9551937
Digital Object Identifier: 10.1109/ICDE.2007.369048
Current Version Published: 2007-06-04
Abstract
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.
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