Understanding Performance of Internet Video using Network Measurement Data
Title Of the Talk: “ Understanding Performance of Internet Video using Network Measurement Data
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Speakers: Dr. Tarun Mangla
Host Faculty: Dr.Praveen Tammana
Date &Time: Monday, 13 JFeb 2022 12:15
Abstract: Internet video is used extensively for entertainment, education, work, and telehealth, making it the largest contributor to Internet traffic. Due to these two factors, i.e. video popularity and resource utilization, it becomes important to understand the network dynamics of Internet video. Understanding the network behavior of the video, however, has several challenges, including (1). complex interactions among entities on the network path (e.g., CDNs, ISPs) and within the vertical network stack, (2). limited information available to some stakeholders (e.g., network operators), and (3). heterogeneity in network and user contexts. In this talk, I will cover two of my research directions that use network data to provide insights into the dynamic behavior of Internet video applications. The first is on using passive measurements to enable network operators to understand Quality of Experience metrics for HTTP-based adaptive streaming (e.g., Netflix, YouTube). The second is on using empirical network data to understand the performance and network utilization of video conferencing applications (e.g., Zoom). The talk will conclude with a brief discussion of my ongoing work on mapping broadband inequity and future research plans
Speaker Profile: Tarun is a Postdoctoral Scholar at The University of Chicago (UChicago) working with Nick Feamster. He is interested in using data-driven methods to understand and improve performance and accessibility of the Internet. Before joining UChicago, Tarun received his Ph.D. from Georgia Tech in 2020, where he was advised by Mostafa Ammar and Ellen Zegura. He received his bachelor’s degree from IIT Delhi in 2014. He is a recipient of the Best Paper Award at IFIP TMA, 2018