Implementation of big data lab for broadband wireless networks intelligent traffic management system: Evaluation and challenges

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 big-data 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 big-data lab are evaluated. This work aims at providing a comprehensive reporting about an experience gained from designing and implementing an academic lab of big-data 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 to other teams willing to create similar labs are presented.