Scalable, High-performance Event-filtering for Dynamic Multi-point Applications

I am currently developing an OO framework that uses parallel processing, along with various filter composition techniques, to optimize event filtering for dynamic multi-point (DMP) applications. Examples of DMP applications include satellite telemetry processing systems, fault management in large-scale network management systems, real-time market data analysis systems, online news ``clipping'' services, and distributed agents for mobile personal communication systems.

Event filtering is a data reduction mechanism that eliminates unnecessary network traffic and unnecessary processing at consumer endsystems in DMP systems. In addition, filtering is used to demultiplex and classify events, which supports network monitoring and automated fault management.

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Last modified 11:34:41 CDT 28 September 2006