PROCESS MINING FOR JOB NETS IN INTEGRATED COMPLEX COMPUTER SYSTEMS

Shinji Kikuchi, Yasuhide Matsumoto, Motomitsu Adachi, Shingo Moritomo

Abstract

Batch jobs, such as shell scripts, programs and command lines, are used to process large amounts of data in large scale enterprise systems, such as supply chain management (SCM) systems. These batch jobs are connected and cascaded via certain signals or files so as to process various kinds of data in the proper order. Such connected batch jobs are called “job nets”. In many cases, it is difficult to understand the execution order of batch jobs in a job net because of the complexity of their relationships or because of lack of information. However, without understanding the behavior of batch jobs, we cannot achieve reliable system management. In this paper, we propose a method to derive a job net model representing the execution order of the job net from its logs (execution results) by using a process mining technique. Improving on the Heuristic Miner algorithm, we developed an analysis method which takes into account the concurrency of batch job executions in large scale systems. We evaluated our analysis method by a conformance check method using actual job net logs obtained from a large scale SCM system. The results show that our approach can accurately and appropriately estimate the execution order of jobs in a job net.

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Paper Citation


in Harvard Style

Kikuchi S., Matsumoto Y., Adachi M. and Moritomo S. (2010). PROCESS MINING FOR JOB NETS IN INTEGRATED COMPLEX COMPUTER SYSTEMS . In Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-989-8425-06-5, pages 5-12. DOI: 10.5220/0002853500050012


in Bibtex Style

@conference{iceis10,
author={Shinji Kikuchi and Yasuhide Matsumoto and Motomitsu Adachi and Shingo Moritomo},
title={PROCESS MINING FOR JOB NETS IN INTEGRATED COMPLEX COMPUTER SYSTEMS},
booktitle={Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2010},
pages={5-12},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002853500050012},
isbn={978-989-8425-06-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - PROCESS MINING FOR JOB NETS IN INTEGRATED COMPLEX COMPUTER SYSTEMS
SN - 978-989-8425-06-5
AU - Kikuchi S.
AU - Matsumoto Y.
AU - Adachi M.
AU - Moritomo S.
PY - 2010
SP - 5
EP - 12
DO - 10.5220/0002853500050012