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

Abstract

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.