Multi-Facet BPM: Identification, Analysis and Resolution of Resource-Intensive BPM Application

Tom Thaler; Sharam Dadashnia; Peter Fettke; Peter Loos

In: Proceedings of the Fall 2014 Future SOC Lab Day. HPI Future SOC Lab, October 29, Potsdam, Germany, Hasso-Plattner-Institut, 2014.


Within the last years, the information systems research discipline has been faced with more and more resource intensive application scenarios and an increasing amount of data. Taking this development into account, the paper at hand exemplarily addresses three concrete calculation scenarios in order to gain insights on how to utilize a high performance IT infrastructure to solve the corresponding problem statements. Therefore, the concept of architectural prototyping is used as a research approach. This “system under development” made it possible to develop an outstanding algorithm calculating process matches and to evaluate it with the IWi process model corpus. While the work on the two other scenarios (1) state explosion in practice and (2) process mining on Big Data is still in progress, several new interesting application scenarios could be identified.

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence