Mohammed S. Hadi

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Mohammed S. Hadi received the B.Sc. and M.Sc. degrees in computer engineering from Al-Nahrain University, Baghdad, Iraq, in 2003 and 2009
respectively.
He is currently working toward the Ph.D. in Electrical Engineering at the University of Leeds, Leeds, U.K. From (2010 – 2015) he was an assistant lecturer in Al-Mansour University College, Baghdad, Iraq and, prior to that (2007 – 2010), he was an Intelligent Network (IN), Short Message System (SMS), and (Public Switched Telephone Network) PSTN engineer with ZTE Corporation for Telecommunication, Iraq. His research interests include big data analytics, network design and energy efficiency in networks

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IEEE/CAA J. Autom. Sinica

Hong-Ning Dai

Hong Kong Baptist University

Ejder Bastug

Massachusetts Institute of Technology (MIT)

Amir Mosavi

German Research Center for Artificial Intelligence

Bilel Ameur

SupCom

Jaydip Sen

Praxis Business School

Chiroma Haruna

University of Malaya, Malaysia

Targio Hashem

Dr. Ejaz Ahmed

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Papers by Mohammed S. Hadi

Big Data Analytics for wireless and wired network design A Survey

by Mohammed S. Hadi and Ahmed Lawey

—Currently, the world is witnessing a mounting avalanche of data due to the increasing number of ... more —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.

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