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GATES: a grid-based middleware for processing distributed data streams

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3 Author(s)
Liang Chen ; Dept. of Comput. & Inf. Sci., Ohio State Univ., Columbus, OH, USA ; K. Reddy ; G. Agrawal

Increasingly, a number of applications rely on, or can potentially benefit from, analysis and monitoring of data streams. Moreover, many of these applications involve high volume data streams and require distributed processing of data arising from a distributed set of sources. Thus, we believe that a grid environment is well suited for flexible and adaptive analysis of these streams. This paper reports the design and initial evaluation of a middleware for processing distributed data streams. Our system is referred to as GATES (grid-based adaptive execution on streams). This system is designed to use the existing grid standards and tools to the extent possible. It flexibly achieves the best accuracy that is possible while maintaining the real-time constraint on the analysis. We have developed a self-adaptation algorithm for this purpose. Results from a detailed evaluation of this system demonstrate the benefits of distributed processing, and the effectiveness of our self-adaptation algorithm.

Published in:

High performance Distributed Computing, 2004. Proceedings. 13th IEEE International Symposium on

Date of Conference:

4-6 June 2004