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Big Data Intelligent Networking
IEEE NETWORK ( IF 9.3 ) Pub Date : 2020-07-22 , DOI: 10.1109/mnet.2020.9146408
Ruidong Li , Houbing Song , Jiannong Cao , Payam Barnaghi , Jie Li , Constandinos X. Mavromoustakis

The thirteen articles in this special section focus on big data analytics for intelligent networking. The Internet of Things (IoT) is likely to have a significant impact on human lives as new services and applications are developed through integration of the physical and digital worlds. IoT is an umbrella term referring to a large number of sensing and actuation devices connected to the Internet. The vast amounts of data will be generated from those devices and form big data to provide smarter living and/or improve production efficiency. The huge amount of data opens new challenges in the era of new data-driven solutions, which also have significant influence on communication networks. Current networks are often designed based on static end-to-end design principles hindering the efficient and intelligent provisioning of big data. This special issue features recent and emerging advances in the areas of big data analytics in networking applications and networking for big data

中文翻译:

大数据智能网络

本节中的十三篇文章重点介绍了用于智能网络的大数据分析。物联网(IoT)可能通过整合物理世界和数字世界开发新的服务和应用,从而对人类生活产生重大影响。IoT是一个统称,指的是连接到Internet的大量传感和促动设备。这些设备将生成大量数据,并形成大数据,以提供更智能的生活和/或提高生产效率。庞大的数据量在新的数据驱动解决方案时代提出了新的挑战,这些解决方案也对通信网络产生了重大影响。当前的网络通常基于静态的端到端设计原理进行设计,从而阻碍了大数据的高效和智能配置。
更新日期:2020-07-24
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