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Helping Hand or Hidden Hurdle: Proxy-assisted HTTP-based Adaptive Streaming Performance
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology.
University of Saskatchewan, Canada.
NICTA, Australia.
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2013 (English)In: Modeling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS), 2013 IEEE 21st International Symposium, IEEE , 2013, p. 182-191Conference paper, Published paper (Refereed)
Abstract [en]

HTTP-based Adaptive Streaming (HAS) has become a widely-used video delivery technology. Use of HTTP enables relatively easy firewall/NAT traversal and content caching. While caching is an important aspect of HAS, there is not much public research on the performance impact proxies and their policies have on HAS. In this paper we build an experimental framework using open source Squid proxies and the most recent Open Source Media Framework (OSMF). A range of content-aware policies can be implemented in the proxies and tested, while the player software can be instrumented to measure performance as seen at the client. Using this framework, the paper makes three main contributions. First, we present a scenario-based performance evaluation of the latest version of the OSMF player. Second, we quantify the benefits using different proxy-assisted solutions, including basic best effort policies and more advanced content quality aware prefetching policies. Finally, we present and evaluate a cooperative framework in which clients and proxies share information to improve performance. In general, the bottleneck location and network conditions play central roles in which policy choices are most advantageous, as they significantly impact the relative performance differences between policy classes. We conclude that careful design and policy selection is important when trying to enhance HAS performance using proxy assistance.

Place, publisher, year, edition, pages
IEEE , 2013. p. 182-191
Series
Modeling, Analysis, and Simulation of Com puter and Telecommunications Systems, ISSN 1526-7539
Keyword [en]
HTTP-based adaptive streaming, Proxy assisted
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-105282DOI: 10.1109/MASCOTS.2013.26ISBN: 978-0-7695-5102-9 (electronic)ISBN: 978-1-4799-1209-4 (print)OAI: oai:DiVA.org:liu-105282DiVA, id: diva2:705303
Conference
IEEE 21st International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), 14-16 August 2013, San Francisco, CA, USA
Available from: 2014-03-15 Created: 2014-03-15 Last updated: 2018-02-06Bibliographically approved
In thesis
1. Efficient HTTP-based Adaptive Streaming of Linear and Interactive Videos
Open this publication in new window or tab >>Efficient HTTP-based Adaptive Streaming of Linear and Interactive Videos
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Online video streaming has gained tremendous popularity over recent years and currently constitutes the majority of Internet traffic. As large-scale on-demand streaming continues to gain popularity, several important questions and challenges remain unanswered. This thesis addresses open questions in the areas of efficient content delivery for HTTP-based Adaptive Streaming (HAS) from different perspectives (client, network and content provider) and in the design, implementation, and evaluation of interactive streaming applications over HAS.

As streaming usage scales and new streaming services emerge, continuous improvements are required to both the infrastructure and the techniques used to deliver high-quality streams. In the context of Content Delivery Network (CDN) nodes or proxies, this thesis investigates the interaction between HAS clients and proxy caches. In particular, we propose and evaluate classes of content-aware and collaborative policies that take advantage of information that is already available, or share information among elements in the delivery chain, where all involved parties can benefit. Asides from the users’ playback experience, it is also important for content providers to minimize users’ startup times. We have designed and evaluated different classes of client-side policies that can prefetch data from the videos that the users are most likely to watch next, without negatively affecting the currently watched video. To help network providers to monitor and ensure that their customers enjoy good playback experiences, we have proposed and evaluated techniques that can be used to estimate clients’ current buffer conditions. Since several services today stream over HTTPS, our solution is adapted to predict client buffer conditions by only observing encrypted network-level traffic. Our solution allows the operator to identify clients with low-buffer conditions and implement policies that help avoid playback stalls.

The emergence of HAS as the de facto standard for delivering streaming content also opens the door to use it to deliver the next generation of streaming services, such as various forms of interactive services. This class of services is gaining popularity and is expected to be the next big thing in entertainment. For the area of interactive streaming, this thesis proposes, models, designs, and evaluates novel streaming applications such as interactive branched videos and multi-video stream bundles. For these applications, we design and evaluate careful prefetching policies that provides seamless playback (without stalls or switching delay) even when interactive branched video viewers defer their choices to the last possible moment and when users switches between alternative streams within multi-video stream bundles. Using optimization frameworks, we design and implement effective buffer management techniques for seamless playback experiences and evaluate several tradeoffs using our policies.  

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2018. p. 72
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1902
National Category
Computer Sciences
Identifiers
urn:nbn:se:liu:diva-143802 (URN)10.3384/diss.diva-143802 (DOI)9789176853719 (ISBN)
Public defence
2018-03-13, Ada Lovelace, B-huset, Campus Valla, Linköping, 13:15 (English)
Opponent
Supervisors
Funder
CUGS (National Graduate School in Computer Science)Swedish Research Council
Available from: 2018-02-12 Created: 2018-02-06 Last updated: 2018-02-13Bibliographically approved

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Krishnamoorthi, VengatanathanCarlsson, NiklasShahmehri, Nahid

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Citation style
  • apa
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