Design of a Novel Edge-Centric Cloud Architecture for m-Learning Performance Effectiveness by Leveraging Distributed Computing Paradigms’ Potentials
Khalid Mohiuddin,
Huda Fatima,
Mohiuddin Ali Khan
et al.
Abstract:This article aims to design a novel edge-centric hierarchical cloud architecture to optimize mobile learning (m-learning) performance during learners executing computation-intensive learning applications. This research adopts the potential of distributed computing paradigms, that is, mobile edge, for improving the effectiveness of m-learning performance in higher education. Edge computing enables computing at the network’s edge and effectively avoids latencies while processing learners’ computational requests.… Show more
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