Big data is playing an important role in daily life and has developed into a new subject. Especially, an efficient big data transmission is the foundation. This is because even with a high-efficient data analysis, a limited transmission speed still cannot satisfy the requirement of real-time big data. In this article, we first make an extensive analysis on the tendency of investing short- and long-distance big data transmission, and then summarize future challenge issues urgently to be solved: (1) in short-distance big data transmission, MapReduce well satisfies the requirement of big data processing, and it will be integrated with an optical-wireless hybrid data center network. The seamless convergence of wireless and optical subnets with different physical devices and protocols cannot be ignored; (2) to mitigate the pressures of data analysis and link capacity expansion caused by using traditional transparent-bit-rate transmission, the correlated data transmission should be considered. Some enabling technologies are proposed by us for solving the challenge issues above, along with simulation results that will guide the future work.
['Weigang Hou', 'Xu Zhang', 'Lei Guo', 'Yuyang Sun', 'Siqi Wang', 'Ye Zhang']
Short- and Long-Distance Big Data Transmission: Tendency, Challenge Issues and Enabling Technologies