Fibbing in action: On-demand load-balancing for better video delivery
· 2016
Abstract
Video streaming, in conjunction with social networks, have given birth to a new traffic pattern over the Internet: transient, localized traffic surges, known as flash crowds. Traditional traffic-engineering methods can hardly cope with these surges, as they are unpredictable by nature. Consequently, networks either have to be over-provisioned, which is expensive and wastes resources, or risk to periodically incur congestion, which infuriates customers. This demonstration shows how Fibbing [1] can improve network performance and preserve users’ quality of experience when accessing video streams, by implementing a fine-grained load-balancing service. This service leverages two unique features of Fibbing: programming per destination load-balancing and implementing uneven splitting ratios.
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Cite (BibTeX)
@misc {OSLJ16,
title = {Fibbing in action: On-demand load-balancing for better video delivery},
howpublished = {Demo at SIGCOMM '16},
author = {Olivier Tilmans and Stefano Vissicchio and Laurent Vanbever and Jennifer Rexford},
year = {2016},
}