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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
Big data analytics for wireless and wired network design: A survey
ترجمه فارسی عنوان مقاله:
تجزیه و تحلیل داده های بزرگ برای طراحی شبکه بی سیم و سیمی: یک مرور
منبع:
Sciencedirect - Elsevier - Computer Networks, 132 (2018) 180-199: doi:10:1016/j:comnet:2018:01:016
نویسنده:
Mohammed S. Hadi∗, Ahmed Q. Lawey, Taisir E.H. El-Gorashi, Jaafar M.H. Elmirghani
چکیده انگلیسی:
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 net
works’ 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 em
ploying 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.
Keywords: Big data analytics , Network design , Self-optimization , Self-configuration , Self-healing network
قیمت: رایگان
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