基于模糊控制的启发式工作流引擎负载均衡策略

Fuzzy control-based heuristic algorithm for load balancing in workflow engine

针对分布式工作流引擎中的负载均衡问题,提出了一种新的算法,即启发式模糊算法,将传统控制理论中的模糊控制和启发式策略应用到了工作流负载均衡中。最后在一个基于JINI的分布式网络系统中实现了该算法,并且给出了其与其他几种经典算法进行比较的实验结果。结果表明,启发式模糊算法提高了工作流引擎服务的整体响应时间,使得资源得到了更加合理的利用。

In order to achieving load balancing in a distributed WFMS, a heuristic algorithm based on fuzzy control was proposed. The algorithm applied the fuzzy control and heuristic theory to the load balancing in workflow engine. It was implemented in a prototype on the JINI platform, and also was compared with some other algorithms such as random and round-robin. The experiment shows it has better performance.