摘要
目前多任务调度问题非常普遍,然而在开放动态环境中多任务调度经常会遇到大量不确定性,导致任务调度崩溃。为此,以事件驱动程序结构为框架,用Petri网作为任务调度处理器,建立了多任务动态调度体系结构,给出了基于事件驱动的多任务智能调度方法。该方法能根据所发生事件自动检测调度处理器的状态,对调度处理器做出正确和最优调度决策,从而实现了对有效任务或任务组合进行调度。
Recently, multi-task scheduling has become very popular. However, multi-task scheduling process under open dynamic environments can confront the massive uncertainty frequently that may cause the task scheduling collapse. Using the event driver structure as a frame, and the Petri net as the task scheduling processor, the multi-task dynamic scheduling architecture is established. This approach can act according to the event automatic detection dispatch processor status, to dispatches the processor to make correct and optimal dispatch decision-making, thus realizes to the effective task or the task combination carries on the dispatch.
出处
《吉林大学学报（信息科学版）》
CAS
2007年第5期505-509,共5页
Journal of Jilin University（Information Science Edition）
基金
国家自然科学基金重大研究计划基金资助项目(60496321)
国家自然科学基金资助项目(60473003)
吉林省科技发展基金资助项目(20040526)
