標題: A Study to Improving Anomaly Detection in a TS Workflow
作者: Wang, Feng-Jian
Thanh-Thuy Thi Nguyen
Lu, Tennyson
資訊工程學系
Department of Computer Science
關鍵字: component;temporal structured workflow;anomalous behavior;artifact anomaly detection
公開日期: 2016
摘要: The analysis for the behavior of the artifacts adopted in a workflow can help preventing the execution errors. A temporal (structured) workflow, TS Workflow, is described with the min and max execution time intervals for each process and modeled by control structures (Sequence, AND, XOR, Loop). In the past, the anomalous behaviors of artifacts in a workflow are redefined to simplify artifact analysis in a workflow. However, some anomalies detected in the previous work might not occur if the temporal factors are considered in each process, because their corresponding processes cannot run continuously or concurrently due to temporal factors. In this work, the analysis work is improved by filtering out above anomalies in a TS workflow. Our work also handles the loop structure that complicates the analysis work and was not concerned in conventional analysis works.
URI: http://dx.doi.org/10.1109/COMPSAC.2016.228
http://hdl.handle.net/11536/136399
ISBN: 978-1-4673-8845-0
ISSN: 0730-3157
DOI: 10.1109/COMPSAC.2016.228
期刊: PROCEEDINGS 2016 IEEE 40TH ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE WORKSHOPS (COMPSAC), VOL 2
起始頁: 141
結束頁: 148
Appears in Collections:Conferences Paper