CORRELATING EVENTS FOR MONITORING BUSINESS PROCESSES

Josef Schiefer, Carolyn McGregor

2004

Abstract

With the increasing demand for real-time information on critical performance indicators of business processes, the capturing, transformation and correlation of real-world events with minimal latency are a prerequisite for improving the speed and effectiveness of an organization's business operations. Events often include key business information about their relationship to other events that can be utilized to collect relevant event data for the calculation of business performance indicators. In this paper we introduce an approach for correlating events of business processes that uses correlation sessions to represent correlation knowledge. Correlation sessions facilitate the processing of data across multiple events and thereby enable a calculating of business metrics in near real-time. The benefit over existing approaches is that it is tailored to instrument business processes and business applications that may operate in a heterogeneous software environment. We propose a Java-based, container-managed environment which provides a distributed, scalable, near-real time processing of events and which includes a correlation service that effectively manages correlation sessions. We also show a complete example that illustrates how correlation sessions can be utilized for computing the cycle time of business processes.

References

  1. Babu, S. and Widom, J., Continuous queries over data streams, ACM SIGMOD Record, 30(3):109-120, Sept. 2001.
  2. Feldkuhn, L. and Erickson, J., Event Management as a Common Functional Area of Open Systems Management, in Proc. IFIP Symposium on Integrated Network Management, North Holland, 1989.
  3. Houck, K., Calo, S., Finkel, A., Towards a practical alarm correlation system, IEEE/IFIP Symposium on Integrated Network Management, 1995.
  4. Katzela, I. and Schwartz, M., Schemes for fault identification in communication networks, IEEE Transactions on Networking, 1995.
  5. McGregor, C. and Schiefer, J., A Framework for Analyzing and Measuring Business Performance with Web Services, Proceedings of the 2003 IEEE Conference on E-Commerce, CEC'03, Newport Beach, CA, 2003.
  6. Nygate, Y.A., Event correlation using rule and object base techniques, IEEE/IFIP Symposium on Integrated Network Management, 1995.
  7. Wu, P., Bhatnagar, R., Epshtein, L., Bhandaru, M., Shi, Z., Alarm correlation engine (ACE), In Proceedings of the IEEE/IFIP 1998 Network Operations and Management Symposium (NOMS), New Orleans, 1998.
  8. Yemini, S. A., Sliger, S., Eyal, M., Yemini, Y., Ohsie, D., High Speed and Robust Event Correlation, IEEE Communications Magazine 34, No. 5, 82-90, 1996.
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Paper Citation


in Harvard Style

Schiefer J. and McGregor C. (2004). CORRELATING EVENTS FOR MONITORING BUSINESS PROCESSES . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 972-8865-00-7, pages 320-327. DOI: 10.5220/0002618403200327


in Bibtex Style

@conference{iceis04,
author={Josef Schiefer and Carolyn McGregor},
title={CORRELATING EVENTS FOR MONITORING BUSINESS PROCESSES},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2004},
pages={320-327},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002618403200327},
isbn={972-8865-00-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - CORRELATING EVENTS FOR MONITORING BUSINESS PROCESSES
SN - 972-8865-00-7
AU - Schiefer J.
AU - McGregor C.
PY - 2004
SP - 320
EP - 327
DO - 10.5220/0002618403200327