有效网络大数据流多任务传输调度方法

Effective Scheduling Method for Multi Task Transmission of Big Data Stream in Network

针对现有方法在调度中存在的数据丢失和数据拥塞的问题,在有效网络的基础上构建出一种大数据流多任务传输调度方法。将无线传感器网络看作有效网络,构建对应的数据传输网络低占空比模型,根据模型运行原理分析大数据流传输调度问题。设计网络服务曲线调度框架,实现传输节点能量最优,计算由数据拥塞造成的传输延迟函数,采用能量延迟权衡原则优化数据传输能量效率。结合数据传输调度框架以及能量最优调度问题,提出LURS传输调度算法,充分考虑多任务传输调度的周期问题,在每个周期中执行一次能量最优的时间槽分配,从而实现多任务传输的协调调度。实验结果表明,所提方法能够降低数据拥塞率,且任务调度中的数据丢包现象得到了有效缓解。

Due to the data loss and data congestion in the current method,this paper constructs a multi-task transmission scheduling method for large data streams based on effective network.The wireless sensor network is re-garded as an effective network to construct the corresponding low duty cycle model of data transmission network,and the transmission scheduling problem of large data stream was analyzed according to the running principle of the mod-el.The scheduling framework of network service curve was designed to optimize the energy of transmission nodes.The transmission delay function caused by data congestion was calculated,and the energy efficiency of data transmis-sion was optimized via the energy delay tradeoff principle.The LURS transmission scheduling algorithm was proposed by the data transmission scheduling framework associated with energy optimal scheduling problem.The periodic prob-lem of multi task transmission scheduling was fully considered,and the optimal time slot allocation was implemented once in each cycle,thus achieving the coordinated scheduling of multi-task transmission.The results show that the method reduces the data congestion rate and packet loss rate.