State management and concurrency in event processing

Authors:
David Jeffery;Alexander Kozlenkov;Adrian Paschke
Affiliations:
Betfair Ltd., London, United Kingdom;Betfair Ltd., London, United Kingdom;Freie Universität Berlin
Venue:
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems
Year:
2009

Citing 6
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Abstract

State management in stream and event processing applications is a long-standing problem. There is a conflict between individual stream processing (SP) operators as transformational units, whose purpose is to generate business events, and (explicit) state that evolves with time. In the paper, we propose a new scalable design solution for this problem using functional state transformer (ST) component(s) combined with a traditional stream processor.