基于负载平衡和经验值的工作流任务分配策略

摘要

Aiming at the problem of task assignment in Workflow Management System(WfMS), this paper presents a strategy for task assignment which supports load balance of task actors and experiential value, and bridges the gap between roles and task actors. On the basis of predicting the load of task actors, the strategy takes the following factors into account: the working load of task actors, the quality achieved by them and their interest of difterent categories of tasks. According to the prediction of load deviation, the load of task actors is divided into several sets, and the task is assigned to the actor who has the highest experiential value in light load set.%针对面向角色的工作流管理系统中的任务分配问题,提出一种支持任务参与者负载平衡和经验值的任务分配策略,在角色和任务执行者之间建立联系.该策略在对任务参与者进行负载预测的基础上,综合考虑任务参与者的工作负载、对不同类型任务的完成质量和兴趣等因素,根据预测负载偏差,对任务参与者的负载进行等级划分,把任务分配给轻载集合中经验值最高的参与者.