Bursts and heavy tails of execution time in business processes |
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Authors: | Jaehoon Lee Joongsoon Jang |
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Affiliation: | 1. Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84112, USA.jaehoon.lee@utah.edu;3. Department of Industrial Engineering, Ajou University, Suwon 443-749, Republic of Korea. |
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Abstract: | ![]() This paper investigates the phenomena and effects of heavy tails of execution time in business processes. We approached the heavy tails as a particular variation of business process execution, and analysed them from empirical data of its execution time. The features and possible causes of the heavy tails were investigated. A workflow simulation was conducted to simulate the heavy tails, in order to evaluate quantitatively their effects to business process performance. The simulation outcomes demonstrate that (1) even a heavy-tailed activity in a business process can cause large variation of end-to-end execution times of the process and (2) there are significant prediction gaps resulted by different assumptions of execution times between an exponential distribution and a heavy-tailed distribution. |
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Keywords: | business process management heavy tail pareto distribution business process analysis workflow simulation |
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