Title: Understanding Performance of Internet Video using Network Measurement Data Speaker(s): Prof. Tarun Mangla, Assistant Professor, IIT Delhi Time: 5:00 PM - 6:00 PM (IST) Date: 29/10/2024 Venue: Online on Zoom Abstract: With the growing demand for Internet video applications, last-mile Internet Service Providers (ISPs) are under increasing pressure to efficiently provision and manage their networks. For an efficient network optimization, it is crucial for network operators to have a deep understanding of end-user video Quality of Experience (QoE). However, assessing video QoE is challenging for ISPs, as they typically lack access to either endpoints. This talk will present methods for using network measurement data to estimate objective video QoE metrics. First, I will introduce eMIMIC, a novel approach to inferring QoE for encrypted HTTP-based Adaptive video Streaming (HAS). eMIMIC leverages knowledge of the HAS streaming protocol and exploits the traffic patterns it generates in the network. Next, I will discuss a machine learning-based technique to infer key QoE metrics for video conferencing applications. This method is effective even without access to application-layer headers, which are both cumbersome to collect and are also becoming less accessible due to the use of proprietary protocols. The talk will conclude with an overview of other ongoing projects in my group.