This work wass supported by the Research Foundation of Science and Technology Plan Project in Guangdong Province under Grant No. 2020A0505100030 and in part supported by the Australian Research Council Discovery Grant No. DP190100314.
Context
The project delivers a conceptual design of a BPMS capable of addressing dynamically varying demands of end users in the cloud, and presents a implementation using an open source traditional BPMS platform. Both the design and system realisation offer focused strategies on achieving scalability and demonstrates the system capabilities for supporting both upscaling, to address large volumes of user demand or workload, and downscaling, to release underutilised computing resources, in a cloud environment.
The project aimed to provide strategies for scaling Business Process Automation support in a cloud environment
Project Team
Michael Adams QUT
Chun Ouyang QUT
Prof. Arthur ter Hofstede QUT
Yang Yu Sun Yat-sen University, China
Project Outcomes
Outcomes of this project included:
- A range of publications (see below)
Ouyang, C., Adams, M., ter Hofstede, A.H.M., & Yu, Y. (2021). Design and Realisation of Scalable Business Process Management Systems for Deployment in the Cloud. ACM Transactions on Management Information Systems (TMIS), 12(4), 1-26.
Adams M., Ouyang C., ter Hofstede A.H.M., Yu Y. (2018) Design and Performance Analysis of Load Balancing Strategies for Cloud-Based Business Process Management Systems. In: Panetto H., Debruyne C., Proper H., Ardagna C., Roman D., Meersman R. (eds) On the Move to Meaningful Internet Systems. OTM 2018, Valetta, Malta, October. Lecture Notes in Computer Science, vol 11229, (pp. 390-406). Springer, Cham.
Ouyang, C., Adams, M., ter Hofstede, A.H.M., & Yu, Y. (2018). Towards the design of a scalable business process management system architecture in the cloud. In: Trujillo J. et al. (eds) Conceptual Modeling. ER 2018, Xi’an, China, October. Lecture Notes in Computer Science, vol 11157 (pp. 334-348). Springer, Cham.
