Observation and Mitigation of Causal Re-Ordering in Distributed Business Process Logs Conference Paper

abstract

• 2015 IEEE. Cloud computing provides enhanced collaboration opportunities, but auditing business activities in workflows has become more difficult in a distributed, cloud-based system. The fundamental issue stems from timestamp inaccuracy in event logs. Tools that analyze logs for causal relationships are ineffective, yielding products that can neither capture invariant execution, nor perform conformance checking to check workflow health. Therefore, we offer the Flower Chain Net (FCN), a new Petri net that reduces concurrency and improves conformance checking. To build FCN, we provide the Flower Chain Discovery Algorithm. FCN is evaluated for structural expressiveness, efficiency, and behavioral analysis traits against widely employed methods.

name of conference

• 2015 International Conference on Collaboration Technologies and Systems (CTS)

authors

• Liu, Jyh

published proceedings

• PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON COLLABORATION TECHNOLOGIES AND SYSTEMS

author list (cited authors)

• Pecarina, J., Fu, M., & Liu, J.

citation count

• 0

complete list of authors

• Pecarina, John||Fu, Michael||Liu, Jyh-Charn

publication date

• June 2015

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Collaboration And Cloud Computing
• Process Mining
• Workflows In Collaborative Operations & Systems

Digital Object Identifier (DOI)

• 10.1109/cts.2015.7210422

International Standard Book Number (ISBN) 13

• 9781467376464

start page

• 204

end page

• 211

URL

• http://dx.doi.org/10.1109/cts.2015.7210422