Investigating the Performance of Pull-Based Dynamic Adaptive Streaming in NDN

Rainer, Benjamin; Posch, Daniel; Hellwagner, Hermann

doi:10.1109/jsac.2016.2577365

Cited by 59 publications

(25 citation statements)

References 24 publications

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“…Authors report that the DASC overcomes the network bottlenecks by converging progressively to the best available video quality. The interplay between different adaptation heuristics and interest forwarding strategies in NDN [282] are demonstrated where an interest represents the client request for specific content. The upper bound for the average bitrate the clients can obtain is found, assuming that the network and streaming characteristics are known a priori.…”

Section: Qoe-driven/aware Management Approaches Using Information-mentioning

confidence: 99%

QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey

Barakabitze

Barman

Ahmad

et al. 2020

IEEE Commun. Surv. Tutorials

160

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The highly demanding Over-The-Top (OTT) multimedia applications pose increased challenges to Internet Service Providers (ISPs) for assuring a reasonable Quality of Experience (QoE) to their customers due to lack of flexibility, agility and scalability in traditional networks. The future networks are shifting towards the cloudification of the network resources via Software Defined Networks (SDN) and Network Function Virtualization (NFV). This will equip ISPs with cutting-edge technologies to provide service customization during service delivery and offer QoE which meets customers' needs via intelligent QoE control and management approaches. Towards this end, we provide in this paper a tutorial and a comprehensive survey of QoE management solutions in current and future networks. We start with a highlevel description of QoE management for multimedia services, which integrates QoE modelling, monitoring, and optimization. This followed by a discussion of HTTP Adaptive Streaming (HAS) solutions as the dominant technique for streaming videos over the best-effort Internet. We then summarize the key elements in SDN/NFV along with an overview of ongoing research projects, standardization activities and use cases related to SDN, NFV, and other emerging applications. We provide a survey of the state-of-the-art of QoE management techniques categorized into three different groups: a) QoE-aware/driven strategies using SDN and/or NFV; b) QoE-aware/driven approaches for adaptive streaming over emerging architectures such as multi-access edge computing, cloud/fog computing, and information-centric networking; and c) extended QoE management approaches in new domains such as immersive augmented and virtual reality, mulsemedia and video gaming applications. Based on the review, we present a list of identified future QoE management challenges regarding emerging multimedia applications, network management and orchestration, network slicing and collaborative service management in softwarized networks. Finally, we provide a discussion on future research directions with a focus on emerging research areas in QoE management, such as QoEoriented business models, QoE-based big data strategies, and scalability issues in QoE optimization.

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Section: Qoe-driven/aware Management Approaches Using Information-mentioning

confidence: 99%

QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey

Barakabitze

Barman

Ahmad

et al. 2020

IEEE Commun. Surv. Tutorials

160

View full text Add to dashboard Cite

show abstract

“…The advantages of NDN for applications, such as the delivery of multimedia, in particular of dynamic adaptive streaming of multimedia, are investigated in [52]. An information-centric cost-efficient optimization for the delivery of multimedia content for vehicular networks is presented in [53].…”

Section: Wireless Communication In Ndnmentioning

confidence: 99%

Challenges and Opportunities of Named Data Networking in Vehicle-To-Everything Communication: A Review

Rainer

Petscharnig

2018

Information

Self Cite

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Many car manufacturers have recently proposed to release autonomous self-driving cars within the next few years. Information gathered by sensors (e.g., cameras, GPS, lidar, radar, ultrasonic) enable cars to drive autonomously on roads. However, in urban or high-speed traffic scenarios the information gathered by mounted sensors may not be sufficient to guarantee a smooth and safe traffic flow. Thus, information received from infrastructure and other cars or vehicles on the road is vital. Key aspects in Vehicle-To-Everything (V2X) communication are security, authenticity, and integrity which are inherently provided by Information Centric Networking (ICN). In this paper, we identify advantages and drawbacks of ICN for V2X communication. We specifically review forwarding, caching, as well as simulation aspects for V2X communication with a focus on ICN. Furthermore, we investigate existing solutions for V2X and discuss their applicability. Based on these investigations, we suggest directions for further work in context of ICN (in particular Named Data Networking) to enable V2X communication providing a secure and efficient transport platform.

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“…In recent years, DAS has become the most used adaptive bitrate streaming technique that supports on-demand and realtime multimedia streaming. Therefore, most of the Internet video streaming providers such as Netflix, Amazon and Sky rely on DAS [7]. Along with solutions like Apple HTTP Live Streaming, Microsoft Smooth Streaming, and Adobes HTTP Dynamic Streaming which were highly appreciated, MPEG-DASH (Dynamic Adaptive Streaming over HTTP) is ratified by ISO/IEC and it became the utmost used standard for DAS.…”

Section: Related Workmentioning

confidence: 99%

Fair-RTT-DAS: A robust and efficient dynamic adaptive streaming over ICN

Conti

Droms

Hassan

et al. 2018

Computer Communications

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To sustain the adequate bandwidth demands over rapidly growing multimedia traffic and considering the effectiveness of Information-Centric Networking (ICN), recently, HTTP based Dynamic Adaptive Streaming (DASH) has been introduced over ICN, which significantly increases the network bandwidth utilisation. However, we identified that the inherent features of ICN also causes new vulnerabilities in the network. In this paper, we first propose a novel attack called as Bitrate Oscillation Attack (BOA), which exploits fundamental ICN characteristics: in-network caching and interest aggregation, to disrupt DASH functionality. In particular, the proposed attack forces the bitrate and resolution of video received by the attacked client to oscillate with high frequency and high amplitude during the streaming process. To detect and mitigate BOA, we design and implement a reactive countermeasure called Fair-RTT-DAS. Our solution ensures efficient bandwidth utilization and improves the user perceived Quality of Experience (QoE) in the presence of varying content source locations. For this purpose, Fair-RTT-DAS consider DASH's two significant features: round-trip-time (RTT) and throughput fairness. In the presence of BOA in a network, our simulation results show an increase in the annoyance factor in user's spatial dimension, i.e., increase in oscillation frequency and amplitude. The results also show that our countermeasure significantly alleviates these adverse effects and makes dynamic adaptive streaming friendly to ICN's implicit features.

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Investigating the Performance of Pull-Based Dynamic Adaptive Streaming in NDN

Cited by 59 publications

References 24 publications

QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey

QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey

Challenges and Opportunities of Named Data Networking in Vehicle-To-Everything Communication: A Review

Fair-RTT-DAS: A robust and efficient dynamic adaptive streaming over ICN

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