Tilmans, O; Vissicchio, S; Vanbever, L; Rexford, J; (2016) Fibbing in action: On-demand load-balancing for better video delivery. In: Barcellos, M and Crowcroft, J and Vahdat, A and Katti, S, (eds.) SIGCOMM '16: Proceedings of the 2016 ACM SIGCOMM 2016 Conference. (pp. pp. 619-620). Association for Computing Machinery (ACM): New York, NY, USA.

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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 overprovisioned, which is expensive and wastes resources, or risk to periodically incur congestion, which infuriates customers. This demonstration shows how Fibbing 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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