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Event Mining with Event Processing Networks

Lecture notes in computer sciencePublished 1 January 1999
Louis Perrochon, Walter Mann, Stephane Kasriel, D Luckham
Citations24
SJR quartileQ2
SJR score0.35
SNIP0.55

TL;DR

The underlying infrastructure provides an abstract communication mechanism and thus allows dynamic reconfiguration of the communication topology between agents at run-time and provides transparent, location-independent access to all data.

Abstract

Event Mining discovers information in a stream of data, or events, and delivers knowledge in real-time. Our event processing engine consists of a network of event processing agents (EPAs) running in parallel that interact using a dedicated event processing infrastructure. EPAs can be configured at run-time using a formal pattern language. The underlying infrastructure provides an abstract communication mechanism and thus allows dynamic reconfiguration of the communication topology between agents at run-time and provides transparent, location-independent access to all data. These features support dynamic allocation of EPAs to machines in a local area network at run time.

Keywords

Computer Science