Adaptive multimedia streaming in information-centric networks

Lederer, Stefan; Mueller, Christopher; Timmerer, Christian; Hellwagner, Hermann

doi:10.1109/mnet.2014.6963810

Cited by 61 publications

(38 citation statements)

References 8 publications

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“…Some major challenges were also identified, in terms of bandwidth predictability and cache misses. Future research will include the numerical evaluation of the advantages obtained by using SVC over ICN, both from a client-and network-perspective, by using the ICN-enabled DASH client developed by Lederer et al [12].…”

Section: Discussionmentioning

confidence: 99%

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Towards SVC-based Adaptive Streaming in information centric networks

Petrangeli

Bouten

Claeys

et al. 2015

2015 IEEE International Conference on Multimedia &Amp; Expo Workshops (ICMEW)

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HTTP Adaptive Streaming (HAS) is becoming the de-facto standard for video streaming services. In HAS, each video is segmented and stored in different qualities. The client can dynamically select the most appropriate quality level to download, allowing it to adapt to varying network conditions. As the Internet was not designed to deliver such applications, optimal support for multimedia delivery is still missing. Information Centric Networking (ICN) is a recently proposed disruptive architecture that could solve this issue, where the focus is given to the content rather than to end-to-end connectivity. Due to the bandwidth unpredictability typical of ICN, standard AVC-based HAS performs quality selection sub-optimally, thus leading to a poor Quality of Experience (QoE). In this article, we propose to overcome this inefficiency by using Scalable Video Coding (SVC) instead. We individuate the main advantages of SVC-based HAS over ICN and outline, both theoretically and via simulation, the research challenges to be addressed to optimize the delivered QoE.

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Section: Discussionmentioning

confidence: 99%

“…Lederer et al identify the possibilities of applying HAS over ICN and present an architecture for DASH over CCN [12]. Furthermore, several open challenges are identified by the authors.…”

Section: Related Workmentioning

confidence: 99%

Towards SVC-based Adaptive Streaming in information centric networks

Petrangeli

Bouten

Claeys

et al. 2015

2015 IEEE International Conference on Multimedia &Amp; Expo Workshops (ICMEW)

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“…In contrast to this overthe-top (OTT) approach, which is slow in reacting to the highly fluctuating RAN conditions, our proposed scheme relies on the knowledge collected at the network edge to serve locally cached video segments at their right representations according to MEC-predicted RAN conditions. It is worth mentioning that such a solution is not designed on top of any specific ICN scheme, as the main interoperability issue is the understanding by the underlying ICN network on the URL-based naming of DASH video segments [9].…”

Section: Doimentioning

confidence: 99%

“…Concerning naming for individual DASH-like video segments with multiple representations, the authors of [9] have proposed a mechanism to map them to the NDN naming system. Specifically, a DASH segment at a given representation is named as:…”

Section: System Overviewmentioning

confidence: 99%

QoE-Driven DASH Video Caching and Adaptation at 5G Mobile Edge

Ge¹,

Wang²,

Skillman³

et al. 2016

Proceedings of the 3rd ACM Conference on Information-Centric Networking

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In this paper, we present a Mobile Edge Computing (MEC) scheme for enabling network edge-assisted video adaptation based on MPEG-DASH (Dynamic Adaptive Streaming over HTTP). In contrast to the traditional over-the-top (OTT) adaptation performed by DASH clients, the MEC server at the mobile network edge can capture radio access network (RAN) conditions through its intrinsic Radio Network Information Service (RNIS) function, and use the knowledge to provide guidance to clients so that they can perform more intelligent video adaptation. In order to support such MECassisted DASH video adaptation, the MEC server needs to locally cache the most popular content segments at the qualities that can be supported by the current network throughput. Towards this end, we introduce a two-dimensional user Quality-of-Experience (QoE)-driven algorithm for making caching / replacement decisions based on both content context (e.g., segment popularity) and network context (e.g., RAN downlink throughput). We conducted experiments by deploying a prototype MEC server at a real LTE-A based network testbed. The results show that our QoE-driven algorithm is able to achieve significant improvement on user QoE over 2 benchmark schemes.

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“…As this element is located closer to the end user, RTT in adaptation loops is shortened and the adaptation results in smoother media flows. This scheme also benefits from Content Delivery Network (CDN) deployments, where the content is served from the closest location to the end user [10].…”

Section: Evolution Of Multimedia Session Adaptation Approachesmentioning

confidence: 99%

Improving content delivery efficiency through multi-layer mobile edge adaptation

2015

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This paper presents a novel architecture for optimizing the HTTP-based multimedia delivery in multi-user mobile networks. This proposal combines the usual client-driven dynamic adaptation scheme DASH-3GPP with network-assisted adaptation capabilities, in order to maximize the overall Quality of Experience. The foundation of this combined adaptation scheme is based on two state of the art technologies. On one hand, adaptive HTTP streaming with multi-layer encoding allows efficient media delivery and improves the experienced media quality in highly dynamic channels. Additionally, it enables the possibility to implement network-level adaptations for better coping with multi-user scenarios. On the other hand, mobile edge computing facilitates the deployment of mobile services close to the user. This approach brings new possibilities in modern and future mobile networks, such as close to zero delays and awareness of the radio status. The proposal in this paper introduces a novel element, denoted as Mobile Edge-DASH Adaptation Function, which combines all these advantages to support efficient media delivery in mobile multi-user scenarios. Furthermore, we evaluate the performance enhancements of this content-and user contextaware scheme through simulations of a mobile multimedia scenario.Mobile multimedia traffic has been experiencing a dramatic increase in the last years, dominated by the explosion of media delivery through Dynamic Adaptive Streaming over HTTP (DASH). This approach, standardized by MPEG as ISO/IEC CD 23009-1 and adopted by 3GPP as 3GP-DASH, splits media contents in short media segments. These chunks can be made available at different quality versions, allowing users to switch between different quality representations from one interval to the following one. In this way, multimedia services are endowed with client-driven dynamic adaptation capabilities, which is a crucial feature for reacting to variable channel conditions. In AVC-based DASH (DASH-AVC), media content is split in K media segments (AVC k in Fig. 1a) available at N different representations (AVC n in Fig. 1a), corresponding to different quality levels. Each combination of media segment and quality representation is described as a unique HTTP object in a Media Presentation Description (MPD) file, and can be independently retrieved through HTTP GET requests. Therefore, at each time slot, the user device requests a unique video representation.SVC-based DASH (DASH-SVC) allows more flexible delivery schemes since different layers (base layer and enhancement layers) are split into different HTTP objects containing additive information. Each HTTP object in the MPD file represents a quality layer of a video segment. When client devices select the most suitable media representation (SVC 1 -SVC n objects in Fig. 1b) for a media segment (SVC k in Fig. 1b), the different layers are transmitted over the network as standalone HTTP transactions.Dynamic content delivery reacts to the specific network conditions based on either quick client-dri...

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Adaptive multimedia streaming in information-centric networks

Cited by 61 publications

References 8 publications

Towards SVC-based Adaptive Streaming in information centric networks

Towards SVC-based Adaptive Streaming in information centric networks

QoE-Driven DASH Video Caching and Adaptation at 5G Mobile Edge

Improving content delivery efficiency through multi-layer mobile edge adaptation

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