Assessing the impact of network performance on popular e-learning applications
Proc. Int. Conf. e-Lear., ICEL
; 2020-December:61-65, 2020.
Article
in English
| Scopus | ID: covidwho-1196224
ABSTRACT
With the outbreak of COVID-19 pandemic, several educational and business organizations have adopted online video conferencing platforms to facilitate their smooth functioning. These platforms have largely favored educational institutions for remotely conducting virtual classes over various electronic learning (e-learning) platforms. This has imposed challenges on existing Internet platforms for efficiently managing network performance generated from the extensive use of these platforms. In this paper, a framework for monitoring the effect of different network parameters, while using some well-known e-learning platforms is provided. The different LTE network performance parameters like uplink speed, downlink speed, network latency, and jitter are considered. We observed that the LTE network performance parameters obtained while using Microsoft Teams is optimum. Since, we observed that Microsoft Teams provided an optimal performance, we further perform analysis on Microsoft Teams. We further obtain the empirical distribution pertaining to the LTE network communication features by employing Gamma distribution. From our analysis, it is observed that the network throughput, latency, and jitter can be optimized to enhance the users’ quality of experience by employing the proposed strategy. © 2020 IEEE.
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Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
Language:
English
Journal:
Proc. Int. Conf. e-Lear., ICEL
Year:
2020
Document Type:
Article
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