With the rapid transformation of computer hardware and algorithms, mobile networking has evolved from low data carrying capacity and high latency to better-optimized networks, either by enhancing the digital network or using different approaches to reduce network traffic. This paper discusses the big data applications and scheduling in the distributed networking and analyzes the opportunities and challenges of data management systems. The analysis shows that the big data scheduling in the cloud computing environment produces the most efficient way to transfer and synchronize data. Since scheduling problems and cloud models are very complex to analyze in different settings, we set it to the typical software defined networks. The development of cloud management models and coflow scheduling algorithm is proved to be the priority of the digital communications and networks development in the future.

翻译：随着计算机硬件与算法的快速变革，移动网络已从低数据承载能力与高延迟演进至更优的网络优化状态，其实现途径包括增强数字网络或采用不同方法减少网络流量。本文探讨了分布式网络中的大数据应用与调度问题，并分析了数据管理系统的机遇与挑战。研究表明，在云计算环境中进行大数据调度是传输与同步数据的最有效方式。鉴于调度问题与云模型在不同场景下的分析复杂度较高，本研究将其设定为典型软件定义网络场景。云计算管理模型与共流调度算法的发展被证明是未来数字通信与网络发展的优先方向。