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Key performance indicators for traffic intensive web-enabled business processes
Ka I. Pun1; Yain Whar Si2; Kin Chan Pau2
2012-04-01
Source PublicationBusiness Process Management Journal
ISSN14637154
Volume18Issue:2Pages:250-283
Abstract

Purpose: Intensive 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/approach: This 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. Findings: The 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/value: The 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. © Emerald Group Publishing Limited.

KeywordAudit Trail Analysis Key Performance Indicators Stress Testing Traffic Intensive Web Application User Studies Web Server Log World Wide Web
DOI10.1108/14637151211225199
URLView the original
Language英语
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Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Department of Informatics, University of Oslo, Oslo, Norway
2.Department of Computer and Information Science, University of Macau, Taipa, Macau
Recommended Citation
GB/T 7714
Ka I. Pun,Yain Whar Si,Kin Chan Pau. Key performance indicators for traffic intensive web-enabled business processes[J]. Business Process Management Journal,2012,18(2):250-283.
APA Ka I. Pun,Yain Whar Si,&Kin Chan Pau.(2012).Key performance indicators for traffic intensive web-enabled business processes.Business Process Management Journal,18(2),250-283.
MLA Ka I. Pun,et al."Key performance indicators for traffic intensive web-enabled business processes".Business Process Management Journal 18.2(2012):250-283.
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