A Control Architecture for Massive Adaptive Video Streaming Delivery

Cofano, Giuseppe; Cicco, Luca De; Mascolo, Saverio

doi:10.1145/2676652.2676655

Cited by 15 publications

(4 citation statements)

References 10 publications

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“…It would therefore be much simpler if there was a central controller directs clients to the replica that provides the best performance, performs resource reservations, provides access control, and manages global resources under flash crowd events or network outages. Proof-of-concept and feasibility of such a centralized controller have been demonstrated through previous works [94], [95]. In fact, the increased adoption of SDN suggests that future large-scale control planes might run SDN-based controllers to perform resource and user QoE oriented optimizations.…”

Section: Content Delivery Networkmentioning

confidence: 97%

Efficient HTTP-based Adaptive Streaming of Linear and Interactive Videos

Krishnamoorthi¹

2018

Linköping Studies in Science and Technology. Dissertations

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Online video streaming has gained tremendous popularity over recent years and currently constitutes the majority of Internet traffic. As large-scale ondemand 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. Populärvetenskaplig sammanfattningInternet och World Wide Web (WWW) har vuxit till vik...

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Section: Content Delivery Networkmentioning

confidence: 97%

Efficient HTTP-based Adaptive Streaming of Linear and Interactive Videos

Krishnamoorthi¹

2018

Linköping Studies in Science and Technology. Dissertations

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“…QoE of ABR streaming The work by kleinrouweler et al [20] provides network assistance to an ABR client for improved QoE with evaluations in a small scale wireless testbed. Cofano et al [14] implement a Network Control Plane (NCP) to allocate and monitor a channel per video stream. In contrast, SABR shows vast improvement in QoE which we demonstrate through measurements in a large, real-world testbed without incurring the overhead of per-client QoS management.…”

Section: Related Workmentioning

confidence: 99%

Network Assisted Content Distribution for Adaptive Bitrate Video Streaming

Bhat

Rizk

Zink

et al. 2017

Proceedings of the 8th ACM on Multimedia Systems Conference

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State-of-the-art Software Defined Wide Area Networks (SD-WANs) provide the foundation for flexible and highly resilient networking. In this work we design, implement and evaluate a novel architecture (denoted SABR) that leverages the benefits of SDN to provide network assisted Adaptive Bitrate Streaming. With clients retaining full control of their streaming algorithms we clearly show that by this network assistance, both the clients and the content providers benefit significantly in terms of QoE and content origin offloading. SABR utilizes information on available bandwidths per link and network cache contents to guide video streaming clients with the goal of improving the viewer's QoE. In addition, SABR uses SDN capabilities to dynamically program flows to optimize the utilization of CDN caches. Backed by our study of SDN assisted streaming we discuss the change in the requirements for network-to-player APIs that enables flexible video streaming. We illustrate the difficulty of the problem and the impact of SDN-assisted streaming on QoE metrics using various well established player algorithms. We evaluate SABR together with state-of-theart DASH quality adaptation algorithms through a series of experiments performed on a real-world, SDN-enabled testbed network with minimal modifications to an existing DASH client. Our measurements show the substantial improvement in cache hitrates in conjunction with SABR indicating a rich design space for jointly optimized SDN-assisted caching architectures for video streaming applications.

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“…Additionally, FESTIVE includes an element of randomness -its scheduler ensures that the request time of a player is independent of its start time. In [22] the so-called network control plane, designed to take into account scalability and adaptiveness issues, is placed on top of the controlled network. The plane cooperates with distributed buffer-based adaptation techniques implemented in clients but does not interact with a video server.…”

Section: Related Workmentioning

confidence: 99%

Improving Video Quality by Diversification of Adaptive Streaming Strategies

2016

KSII TIIS

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Users quite often experience volatile channel conditions which negatively influence multimedia transmission. HTTP adaptive streaming has emerged as a new promising technology where the video quality can be adjusted to variable network conditions. Nevertheless, the new technology does not remain without drawbacks. As it has been observed, multiple video players sharing the same network link have often problems with achieving good efficiency and stability of play-out due to a mutual interference and competition among video players. Our investigation indicates that there may be another cause for under-performance of the streamed video. In an emulated environment, we implemented three algorithms of adaptive video play-out based on bandwidth or buffer assessment. As we show, traffic generated by players employing the same or similar play-out strategies is positively correlated and synchronised (clustered), whereas traffic originated from different play-out strategies shows negative or no correlations. However, when some of the parameters of the play-out strategies are randomised, the correlation and synchronisation diminish what has a positive impact on the smoothness of the traffic and on the video quality perceived by end users. Our research shows that non-correlated traffic flows generated by play-out strategies improve efficiency and stability of streamed adaptive video.

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A Control Architecture for Massive Adaptive Video Streaming Delivery

Cited by 15 publications

References 10 publications

Efficient HTTP-based Adaptive Streaming of Linear and Interactive Videos

Efficient HTTP-based Adaptive Streaming of Linear and Interactive Videos

Network Assisted Content Distribution for Adaptive Bitrate Video Streaming

Improving Video Quality by Diversification of Adaptive Streaming Strategies

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