摘要
针对多任务在多执行器节点的协作问题,提出一种多目标任务调度策略.该策略以执行任务的最大完成时间、能耗均衡指标和存储成本为目标,将任务调度建模成多目标优化问题,并运用理想点法解决不同目标量纲的差异性,进而转化为单目标优化问题求解,从而得到各任务在执行器节点上的局部最优执行方案.仿真结果表明,3个优化指标均得到一定程度的改善.
In view of the actor-actor task coordination in wireless sensor and actor networks(WSANs),a multi-objective task scheduling approach is proposed.Considering the maximum response time,energy-balanced metric and storage cost,the task assignment among actors is formulated as a multi-objective optimization problem.A modified ideal point algorithm is used to solve the dimension problem caused by different targets.By translating the multi-objective optimization problem into a single-objective one,the near-optimum execution period of each task operation is scheduled in the approach.Simulation results show that the proposed algorithm is effective in terms of three performances.
出处
《控制与决策》
EI
CSCD
北大核心
2011年第2期191-195,共5页
Control and Decision
基金
博士点基金项目(20060611010)
科技部国际科技合作基金项目(2007DFR10420)