Video Conferencing using Edge Computing Infrastructure in the Atlanta Westside Communities
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Thakkar, Yesha Jigneshkumar
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Abstract
The COVID-19 pandemic has introduced a more hybridized learning and working environment in our lives, with people taking advantage of virtual workspaces, tools and resources, and cloud infrastructure to host meetings online. However, the digital divide and corresponding achievement gap in education are further exacerbated as those without stable access to community networks are left behind. My goal, with the Embedded Pervasive Lab, was to research video conferencing platforms that can utilize the power of edge computing and to better understand what the threshold of these platforms looks like, with the running hypothesis that the software should be able to sustain a medium-sized conference call. Load testing was performed for Ion video conferencing software, and the data suggested that while this tool can support smaller conferences with fewer clients, it encounters high failure rates and rapidly decreasing bandwidths for higher client simulations. Ultimately, the data cannot support the hypothesis, outlining a use case for this software. This study opens future research in testing other software, adding functionality and better controls on Ion conferencing, and looking at other metric testing criteria.
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Undergraduate Research Option Thesis