Enabling near real-time central control for live video delivery in CDNs

Abstract

User-created live video streaming is marking a fundamental shift in the workload of live video delivery. However, live-video-specific challenges and the viral nature of user-created content makes it difficult for current CDNs to deliver 1) high-quality, 2) highly-scalable, and 3) highly-responsive service. We present the design and implementation of VDN, a new control plane for CDNs designed to optimize the delivery of live streams within the CDN. VDN satisfies these requirements by using two approaches: 1) optimizing directly for video quality (not just throughput) and 2) combining centralized control with local control, allowing VDN to adapt to traffic dynamics and network failures at fine timescales.

Document Details

Document Type
Pub Defense Publication
Publication Date
Aug 17, 2014
Source ID
10.1145/2740070.2631444

Entities

People

  • David Naylor
  • Dongsu Han
  • Hui Zhang
  • Junchen Jiang
  • Jungah Hong
  • Matthew K. Mukerjee
  • Srinivasan Seshan

Organizations

  • Carnegie Mellon University
  • KAIST
  • Ministry of Science, ICT and Future Planning
  • National Research Foundation of Korea
  • National Science Foundation

Tags

Fields of Study

  • Computer science

Readers

  • Computational Fluid Dynamics (CFD)
  • Computer Networking
  • Computer Vision.