物联网任务调度优化建模与仿真研究  

Optimization Modeling and Simulation Research on Task Scheduling in IOT

作　　者：米晓萍[1] 李雪梅[1] 

机构地区：[1]山西大学计算机工程系,山西太原030013

出　　处：《计算机仿真》2015年第3期327-330,共4页Computer Simulation

基　　金：山西省自然科学基金项目(2011011014-3)

摘　　要：物联网环境下的有序任务调度是各智能设备协调工作的关键。由于物联网环境下的设备众多,在各个设备中又存在众多的子任务调度过程。各个设备之间,设备内部的任务调度之间存十分复杂的关联性。有些关联本身就是矛盾的,形成多核调度需求。传统物联网的任务调度模型,针对多设备、多任务的调度问题,都是采用加入约束条件完成调度过程,但是,在复杂任务调度过程中,无法用约束满足所有线性调度关系,调度过程存在较大缺陷。提出采用组合赋权法的物联网任务优化调度模型,根据物联网多核任务调度的特点,塑造物联网多核操作状态下的任务选择模型,将任务选择问题转换成多属性决策问题,通过组合赋权法求出各个属性的权重,将待完成任务依据权重值大小进行排序,优先执行综合属性值最大的待完成任务,依据优先执行任务选择方法塑造面向资源优化的物联网中任务调度模型,完成物联网多核任务优化调度。仿真结果表明,所提方法完成相同任务的时间更短。An optimized task scheduling model of IOT based on combination weighting approach is proposed. According to the characteristics of multi-core task scheduling in IOT,the task selection model under the state of multi-core operating in IOT is established,and the task selection problem is transformed into multiple attribute decision making problems. Through combination weighting approach,the weight of each attribute is calculated. The task required to complete is sorted according to the weight value size,and the task required to complete with the largest comprehensive attribute value is preference to carry out. On the basis of top performance task selection method,the task scheduling model in IOT for resource optimization is presented,and the optimized multi-core task scheduling in IOT is completed. Simulation results show that the proposed method takes less time to complete the same task than the traditional methods.

关 键 词：物联网 多核操作 优化操作 

分 类 号：F127[经济管理—世界经济]