期刊名称：International Journal of Wireless & Mobile Networks
印刷版ISSN：0975-4679
电子版ISSN：0975-3834
出版年度：2016
卷号：8
期号：6
页码：35
DOI：10.5121/ijwmn.2016.8604
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：A flexible, efficient and secure networking architecture is required in order to process big data. However,existing network architectures are mostly unable to handle big data. As big data pushes network resourcesto the limits it results in network congestion, poor performance, and detrimental user experiences. Thispaper presents the current state-of-the-art research challenges and possible solutions on big datanetworking theory. More specifically, we present the state of networking issues of big data related tocapacity, management and data processing. We also present the architectures of MapReduce and Hadoopparadigm with research challenges, fabric networks and software defined networks (SDN) that are used tohandle today’s idly growing digital world and compare and contrast them to identify relevant problems andsolutions.
