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A Domain-Driven Approach for Detecting Event Patterns in E-Markets

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Abstract

An e-market can be thought of as a distributed event system where an event is generated every time the market’s state changes in response to a number of human or computing agents. The paper describes a practical application of event processing in an e-market context through conventional Event Processing Systems (EPSs). A new EPS architecture that allows the integration of several existing EPSs under a unified domain-specific user interface and execution environment is proposed. We assess the performance of a prototype system for a case study in financial market surveillance and its ability to provide a common interface for two existing EPSs–SMARTS and Coral8. A discussion on the experimental results and the issues arising from the proposed EPS architecture are also provided.

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Authors and Affiliations

  1. School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, 2052, Australia

    Piyanath Mangkorntong

  2. School of Information Systems, Technology and Management, University of New South Wales, Sydney, NSW, 2052, Australia

    Fethi A. Rabhi

Authors
  1. Piyanath Mangkorntong
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  2. Fethi A. Rabhi
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Corresponding author

Correspondence to Piyanath Mangkorntong.

Additional information

Data supplied by Securities Industry Research Centre of Asia-Pacific (SIRCA) on behalf of Reuters. The data pre-processing step is not required when selecting SMARTS since it has the ability to process real-time market data as well.

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Mangkorntong, P., Rabhi, F.A. A Domain-Driven Approach for Detecting Event Patterns in E-Markets. World Wide Web 12, 69–86 (2009). https://doi.org/10.1007/s11280-008-0053-1

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  • DOI: https://doi.org/10.1007/s11280-008-0053-1

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