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Implementation of Big Data Lab for Broadband Wireless Networks Intelligent Traffic Management System: Evaluation and Challenges

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Conference

2018 ASEE Annual Conference & Exposition

Location

Salt Lake City, Utah

Publication Date

June 23, 2018

Start Date

June 23, 2018

End Date

July 27, 2018

Conference Session

Tools and Techniques

Tagged Division

Computing and Information Technology

Page Count

14

Permanent URL

https://peer.asee.org/30615

Download Count

53

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Paper Authors

biography

Tamer Omar California State Polytechnic University, Pomona

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Tamer Omar is an Assistant professor with the Electrical and Computer Engineering Department at California State Polytechnic University. Dr. Omar earned his Ph.D. from the Electrical Engineering department at Iowa State University, USA and his MBA with emphasis on MIS from the Arab Academy for Science and Technology, Egypt and his B.S. degree in Electrical Engineering from Ain Shams University, Egypt. Dr. Omar research interests include wireless networks architecture, resources allocation in wireless networks, heterogeneous networks, self-organized networks, big data implementation and analysis, RDBMS and decision support systems. Dr. Omar has 8 years of experience in academia and more than 10 years of industrial experience in different ICT positions.

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Abstract

Mobile data traffic is growing in an unprecedented rate. Mobile service providers and other businesses relying on mobile traffic require talented calibers to hire with proper skills to operate and manage their networks. Broadband wireless networks and big data systems are two important technologies that current STEM students need to learn, comprehend and master to satisfy the market needs. Design and implementation of an academic bigdata system and broadband wireless testbed for instruction and research purposes is a difficult task. In this work, challenges facing the design and implementation of a mobile networks and bigdata lab are evaluated. This work aims at providing a comprehensive reporting about an experience gained from designing and implementing an academic lab of bigdata system used for broadband wireless networks traffic analysis and management. Challenges facing the project team during the implementation are discussed and probable solutions are described. Lessons learned from different project milestones are detailed to highlight the advantages and disadvantages of different project paths adopted by the project team. Finally, recommendations for to other teams willing to create similar labs are presented.

Omar, T. (2018, June), Implementation of Big Data Lab for Broadband Wireless Networks Intelligent Traffic Management System: Evaluation and Challenges Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. https://peer.asee.org/30615

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