Salt Lake City, Utah
June 23, 2018
June 23, 2018
July 27, 2018
Computing and Information Technology
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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