The amount of video content that is being distributed over the Internet is increasing. Video providers rely on HTTP adaptive streaming approaches to deliver video clips to users. Complementary to the video provider, the service provider must determine the priority of each network stream. As part of the project, students will explore wireless network assisted strategies for http adaptive streaming by use of TOS/DSCP. This includes using machine-learning tools to analyze network video traffic and the design of reinforcement learning algorithms to improve video performance of users.
Lab: Wireless and Mobile Networking (WiMNet) Lab
Direct Supervisor: Craig Gutterman
Position Dates: 5/26/2020 - 8/3/2020
Hours per Week: 40
Paid Position: Yes
Credit: Yes
Number of positions: 1
Qualifications
Understanding of networking
Coding languages required include C, Java, and Python
Knowledge of TOS/DSCP, openwrt, SDN, and mininet preferred
Experience with programable networks, and SDN preferred
Eligibility
Freshman, Sophomore, Junior, Senior, Master's (SEAS only)
Gil Zussman, Professor of Electrical Engineering, Columbia University
[email protected]