An Adaptive Scheduler for Enhancing the Efficiency of Multi-engine BPM Systems

Process enactment plays a pivotal role in BPM systems. In order to enhance the scalability and robustness of BPM systems, a straightforward solution is to provide a redundant system with multi engine architecture. However, without an effective scheduler, the multi engine BPM systems cannot play out its advantages. This paper focuses on the design of an adaptive scheduler which can handle both process level and activity level scheduling based on dynamic weighted scheduling algorithm. The experiments show that, with the scheduler, the load capacity of the multi engine BPM system can be improved and the average response time of process requests can be reduced, especially when each engine node has some differences in configurations.