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On HTTP live streaming in large enterprises
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS.
2013 (English)In: Computer communication review, ISSN 0146-4833, E-ISSN 1046-4833, Vol. 43, no 4, 489-490 p.Article in journal (Refereed) Published
Abstract [en]

In this work, we present a distributed caching solution which addresses the problem of efficient delivery of HTTP live streams in large private networks. With our system, we have conducted tests on a number of pilot deployments. The largest of them, with 3000 concurrent viewers, consistently showed that our system saves more than 90% of traffic towards the source of the stream while providing the same quality of user experience of a CDN. Another result is that our solution was able to reduce the load on the bottlenecks in the network by an average of 91.6%.

Place, publisher, year, edition, pages
2013. Vol. 43, no 4, 489-490 p.
Keyword [en]
content delivery network, distributed caching, http live, private networks
National Category
Computer and Information Science
URN: urn:nbn:se:kth:diva-133408DOI: 10.1145/2486001.2491685ISI: 000327465900061ScopusID: 2-s2.0-84883268151ISBN: 978-145032056-6OAI: diva2:661468
ACM SIGCOMM 2013 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, SIGCOMM 2013; Hong Kong; China; 12 August 2013 through 16 August 2013

QC 20131104

Available from: 2013-11-04 Created: 2013-10-31 Last updated: 2014-01-14Bibliographically approved
In thesis
1. A System, Tools and Algorithms for Adaptive HTTP-live Streaming on Peer-to-peer Overlays
Open this publication in new window or tab >>A System, Tools and Algorithms for Adaptive HTTP-live Streaming on Peer-to-peer Overlays
2013 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

In recent years, adaptive HTTP streaming protocols have become the de facto standard in the industry for the distribution of live and video-on-demand content over the Internet. In this thesis, we solve the problem of distributing adaptive HTTP live video streams to a large number of viewers using peer-to-peer (P2P) overlays. We do so by assuming that our solution must deliver a level of quality of user experience which is the same as a CDN while trying to minimize the load on the content provider’s infrastructure. Besides that, in the design of our solution, we take into consideration the realities of the HTTP streaming protocols, such as the pull-based approach and adaptive bitrate switching.

The result of this work is a system which we call SmoothCache that provides CDN-quality adaptive HTTP live streaming utilizing P2P algorithms. Our experiments on a real network of thousands of consumer machines show that, besides meeting the the CDN-quality constraints, SmoothCache is able to consistently deliver up to 96% savings towards the source of the stream in a single bitrate scenario and 94% in a multi-bitrate scenario. In addition, we have conducted a number of pilot deployments in the setting of large enterprises with the same system, albeit tailored to private networks. Results with thousands of real viewers show that our platform provides an average offloading of bottlenecks in the private network of 91.5%.

These achievements were made possible by advancements in multiple research areas that are also presented in this thesis. Each one of the contributions is novel with respect to the state of the art and can be applied outside of the context of our application. However, in our system they serve the purposes described below.

We built a component-based event-driven framework to facilitate the development of our live streaming application. The framework allows for running the same code both in simulation and in real deployment. In order to obtain scalability of simulations and accuracy, we designed a novel flow-based bandwidth emulation model.

In order to deploy our application on real networks, we have developed a network library which has the novel feature of providing on-the-fly prioritization of transfers. The library is layered over the UDP protocol and supports NAT Traversal techniques. As part of this thesis, we have also improved on the state of the art of NAT Traversal techniques resulting in higher probability of direct connectivity between peers on the Internet.

Because of the presence of NATs on the Internet, discovery of new peers and collection of statistics on the overlay through peer sampling is problematic. Therefore, we created a peer sampling service which is NAT-aware and provides one order of magnitude fresher samples than existing peer sampling protocols.

Finally, we designed SmoothCache as a peer-assisted live streaming system based on a distributed caching abstraction. In SmoothCache, peers retrieve video fragments from the P2P overlay as quickly as possible or fall back to the source of the stream to keep the timeliness of the delivery. In order to produce savings, the caching system strives to fill up the local cache of the peers ahead of playback by prefetching content. Fragments are efficiently distributed by a self-organizing overlay network that takes into account many factors such as upload bandwidth capacity, connectivity constraints, performance history and the currently being watched bitrate.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2013. xix, 41 p.
TRITA-ICT-ECS AVH, ISSN 1653-6363 ; 13:18
peer-to-peer, distributed caching, nat traversal, congestion control, adaptive HTTP streaming, live streaming
National Category
Computer Science
Research subject
urn:nbn:se:kth:diva-134351 (URN)978-91-7501-915-4 (ISBN)
Public defence
2013-12-12, Sal D, Forum, KTH-ICT, Isafjordsgatan 39, Stockholm, 13:00 (English)

QC 20131122

Available from: 2013-11-22 Created: 2013-11-21 Last updated: 2016-01-21Bibliographically approved

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