摘要
合理的分发协作任务是处理响应式Web前端缓存协作数据的基础,采用当前方法分发响应式Web前端缓存协作任务时,存在网络能耗高和目标检测率低的问题。将粒子群算法应用到响应式Web前端缓存协作任务的分发控制中,提出响应式Web前端缓存协作任务分发控制方法,通过响应式Web前端缓存协作任务的处理时间、访问时间和传输时间,获得执行时间的评价指标,根据响应式Web前端缓存协作任务的访问能耗、处理能耗和传输能耗得到网络能耗评价指标,结合网络能耗评价指标和执行时间评价指标构建响应式Web前端缓存协作任务分发控制模型,利用粒子群算法对响应式Web前端缓存协作任务分发控制模型进行求解,通过多次迭代获得最优的任务分发控制策略,完成响应式Web前端缓存协作任务的分发控制。仿真结果表明,所提方法的网络能耗低、目标检测率高。
Reasonable distribution of collaboration tasks is the basis for processing responsive web front-end cache collaboration data. But the current method has high network energy consumption and low target detection rate. Therefore, the particle swarm optimization algorithm is applied to the distribution control for responsive web front-end cache collaborative task, and then the method to control the responsive web front-end caching collaborative task distribution is proposed. According to the handling time, access time and transmission time of the responsive web front-end cache collaborative task, the evaluation indexes of execution time were obtained. Based on the access energy consumption, processing energy consumption and transmission energy consumption of the responsive web front-end cache collaborative task, the evaluation indexes of network energy consumption were obtained. Moreover, the evaluation indexes of network energy consumption were combined with the evaluation indexes of execution time to construct the model to control the responsive web front-end cache cooperation task distribution. Then, the particle swarm optimization algorithm was used to solve this model. Finally, the optimal task distribution control strategy was obtained through multiple iterations. Thus, the control of the responsive web front-end cache collaboration task distribution was completed. Simulation results show that the proposed method has low network energy consumption and high target detection rate.
作者
鞠杰
Ju Jie(Zhengzhou University of Science&Technology.Zhengzhou City of Henan Province 45000,China)
出处
《计算机仿真》
北大核心
2019年第11期268-271,316,共5页
Computer Simulation
关键词
响应式环球网
协作任务
分发控制
Responsive Web
Collaborative task
Distribution control
