Slipstream: Architecture Options for Real-Time Process Analytics
Janiesch C, Matzner M, Müller O, Vollmer R, Becker J (2011)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2011
Pages Range: 295-300
Conference Proceedings Title: Proceedings of the ACM Symposium on Applied Computing (SAC 2011)
Event location: Taichung, Taiwan
ISBN: 978-1-4503-0113-8
Abstract
Timely insight into a company's business processes is of great importance for operational efficiency. However, still today companies struggle with inflexibility of monitoring solutions and reacting to process information on time. We review the current state of the art of business process management and business activity management. Based on that we develop an architecture for event-driven business activity monitoring which is capable of standalone process analytics or can make use of complex event processing engines to filter and aggregate process events in real-time. We discuss advantages and disadvantages of the two options in terms of ease of use, flexibility, and extensibility and close by introducing on future research directions based on our experiences from a prototypical implementation using standard software.
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Germany (DE)How to cite
APA:
Janiesch, C., Matzner, M., Müller, O., Vollmer, R., & Becker, J. (2011). Slipstream: Architecture Options for Real-Time Process Analytics. In Proceedings of the ACM Symposium on Applied Computing (SAC 2011) (pp. 295-300). Taichung, Taiwan, TW.
MLA:
Janiesch, Christian, et al. "Slipstream: Architecture Options for Real-Time Process Analytics." Proceedings of the ACM Symposium on Applied Computing (SAC2011), Taichung, Taiwan 2011. 295-300.
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