Key performance indicators for traffic intensive web‐enabled business processes-Reference-Cited by-同舟云学术

Key performance indicators for traffic intensive web‐enabled business processes

Published:2012-04-13 Issue:2 Volume:18 Page:250-283
ISSN:1463-7154
Container-title:Business Process Management Journal
language:en
Short-container-title:

Author:

Pun Ka I.,Whar Si Yain,Chan Pau Kin

Abstract

PurposeIntensive traffic often occurs in web‐enabled business processes hosted by travel industry and government portals. An extreme case for intensive traffic is flash crowd situations when the number of web users spike within a short time due to unexpected events caused by political unrest or extreme weather conditions. As a result, the servers hosting these business processes can no longer handle overwhelming service requests. To alleviate this problem, process engineers usually analyze audit trail data collected from the application server and reengineer their business processes to withstand unexpected surge in the visitors. However, such analysis can only reveal the performance of the application server from the internal perspective. This paper aims to investigate this issue.Design/methodology/approachThis paper proposes an approach for analyzing key performance indicators of traffic intensive web‐enabled business processes from audit trail data, web server logs, and stress testing logs.FindingsThe key performance indicators identified in the study's approach can be used to understand the behavior of traffic intensive web‐enabled business processes and the underlying factors that affect the stability of the web server.Originality/valueThe proposed analysis also provides an internal as well as an external view of the performance. Moreover, the calculated key performance indicators can be used by the process engineers for locating potential bottlenecks, reengineering business processes, and implementing contingency measures for traffic intensive situations.

Publisher

Emerald

Subject

Business, Management and Accounting (miscellaneous),Business and International Management

Reference41 articles.

1. Agostini, A. and de Michelis, G. (2000), “Improving flexibility of workflow management systems”, Proceedings of the Business Process Management, Models, Techniques, and Empirical Studies, Springer, London, pp. 218‐34.

2. An, L. and Jeng, J.‐J. (2005), “On developing system dynamics model for business process simulation”, Proceedings of the 37th Conference on Winter Simulation (WSC), Orlando, FL, 4‐7 December, pp. 2068‐77.

3. Arlitt, M. and Jin, T. (2000), “A workload characterization study of the 1998 World Cup web site”, IEEE Network, Vol. 14 No. 3, pp. 30‐70, Special Issue on Web Performance.

4. AWStats (n.d.), available at: http://awstats.sourceforge.net/ (accessed 31 July 2010).

5. Book, M., Gruhn, V., Hülder, M., Köhler, A. and Kriegel, A. (2005), “Cost and response time simulation for web‐based applications on mobile channels”, Proceedings of the 5th International Conference on Quality Software, Melbourne, 19‐20 September, pp. 83‐90.

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