光纤网络中的云数据并行调度

光纤网络的通信质量受到云数据调度均衡性影响很大,为了改善光纤网络通信质量,提高网络中云数据传输的吞吐量和保真率,通过云数据并行调度,实现云数据传输均衡,提出一种基于自适应判决反馈均衡的光纤网络云数据并行调度模型;构建光纤网络通信的传输信道模型,采用最小均方误差估计方法进行光纤网络的量化融合估计,运用匹配滤波检测器进行云数据中的干扰滤波处理,结合自适应判决反馈均衡方法进行信道均衡,在均衡的信道中对滤波输出的云数据进行并行调度和多线程输出调制;仿真结果表明,采用该方法进行光纤网络中的云数据并行调度的均衡性较好,输出数据的保真率较高,误码率较低,改善了光纤网络的整体性能。

Parallel Scheduling of Cloud Data in Optical Fiber Networks

The communication quality of the optical fiber network by cloud data scheduling greatly influence the balance, in order to improve the quality of optical fiber communication network, improve network cloud data transmission throughput and fidelity rate scheduling in parallel by the cloud data, cloud data transmission is proposed based on adaptive equalization, decision feedback equalization of optical fiber network cloud data parallel scheduling model construction. The transmission channel model of optical fiber network communication, quantitative estimation of optical fiber network by using the minimum mean square error estimation fusion, was treated by interference filter cloud data matched filter detector, the adaptive decision feedback equalization method for channel equalization, channel equalization in cloud data to the filter output of the parallel scheduling and multi thread output modulation. The simulation results show that using the method of parallel scheduling in cloud data in the fiber network is balanced well, the fidelity of the output data is high, and the bit error rate is low, which improves the overall performance of the optical network.