Quality-Driven Management of Video Streaming Services in Segment-Based Cache Networks

Date: 1 March 2017

Venue: UGent, Auditorium 1 van iGent, 1ste verdieping - Technologiepark-Zwijnaarde 15 - 9052 Gent

Time: 4:00 PM

Organization / co-organization: Dept. of Mathematics and Computer Science

PhD candidate: Maxim Claeys

Principal investigator: Steven Latré & Filip De Turck

Short description: PhD defence Maxim Claeys - Faculty of Science - Dept. of Mathematics and Computer Science



Abstract

Over the last decades, the Internet has undergone an astonishing evolution. While in the early days the Internet was mainly used for static services such as e-mail and web browsing, a wide variety of rich services is offered today, mostly focusing on multimedia delivery. More specifically, video streaming services are dominating the Internet today, representing over 70% of the total consumer Internet traffic worldwide. Furthermore, the end-user requirements are continuously increasing in terms of minimum resolution, response time, etc. The key for a video streaming service to be successful is to meet these stringent quality requirements. Historically, network resources have been strongly over-provisioned to achieve this goal. However, given the popularity of video streaming services and the increasingly stringent quality requirements, this is no longer economically viable.

In this dissertation, multiple management solutions are proposed to optimize the end-to-end delivery of HTTP-based streaming services. The proposed approaches include server side, user side as well as in-network optimizations. By adding intelligence to the endpoints and by taking into account the specific characteristics of video streaming services to efficiently cache videos in the network, the quality as perceived by the end-user can be significantly increased while simultaneously keeping the strain imposed on the underlying network infrastructure under control.



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