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arXiv 1802.01415cs.NIstat.ML
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面向无线和有线网络设计的大数据分析:调查

Big Data Analytics for Wireless and Wired Network Design: A Survey

Mohammed S. Hadi, Ahmed Q. Lawey, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani

摘要:

目前,由于移动网络用户、互联网网站和在线服务的数量不断增加,世界正在目睹数据雪崩。这种趋势正在以大数据的形式以快速和多样化的方式继续发展。大数据分析可以处理大量的原始数据,并提取有用的、较小的信息,这些信息可以被不同的方用来做出可靠的决策。在本文中,我们对大数据分析在数据通信网络设计中的作用进行了调查。将采用大数据分析的最新进展与网络控制/流量层相结合,可能是构建具有精细性能和智能功能的强大数据通信网络的最佳方法。首先,调查从介绍大数据的基本概念、框架和特征开始。其次,我们说明了采用大数据分析的主要网络设计周期。这一周期代表了统一调查主题的总括概念。第三,详细回顾了当前学术界和工业界使用大数据分析进行网络设计的努力。第四,我们确定了在网络设计中利用大数据分析所面临的挑战。最后,我们强调了几个未来的研究方向。据我们所知,这是第一次针对使用大数据分析技术设计各种网络的调查。

英文摘要:

Currently, the world is witnessing a mounting avalanche of data due to the increasing number of mobile network subscribers, Internet websites, and online services. This trend is continuing to develop in a quick and diverse manner in the form of big data. Big data analytics can process large amounts of raw data and extract useful, smaller-sized information, which can be used by different parties to make reliable decisions. In this paper, we conduct a survey on the role that big data analytics can play in the design of data communication networks. Integrating the latest advances that employ big data analytics with the networks control/traffic layers might be the best way to build robust data communication networks with refined performance and intelligent features. First, the survey starts with the introduction of the big data basic concepts, framework, and characteristics. Second, we illustrate the main network design cycle employing big data analytics. This cycle represents the umbrella concept that unifies the surveyed topics. Third, there is a detailed review of the current academic and industrial efforts toward network design using big data analytics. Forth, we identify the challenges confronting the utilization of big data analytics in network design. Finally, we highlight several future research directions. To the best of our knowledge, this is the first survey that addresses the use of big data analytics techniques for the design of a broad range of networks.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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