Investigating the Performance of Pull-Based Dynamic Adaptive Streaming in NDN
Abstract
Adaptive content delivery is the state of the art in real-time multimedia streaming. Leading streaming approaches, e.g., MPEG-DASH and Apple HTTP Live Streaming (HLS), have been developed for classical IP-based networks, providing effective streaming by means of pure client-based control and adaptation. However, the research activities of the Future Internet community adopt a new course that is different from today's host-based communication model. So-called information-centric networks are of considerable interest and are advertised as enablers for intelligent networks, where effective content delivery is to be provided as an inherent network feature. This paper investigates the performance gap between pure client-driven adaptation and the theoretical optimum in the promising Future Internet architecture named data networking (NDN). The theoretical optimum is derived by modeling multimedia streaming in NDN as a fractional multi-commodity flow problem and by extending it taking caching into account. We investigate the multimedia streaming performance under different forwarding strategies, exposing the interplay of forwarding strategies and adaptation mechanisms. Furthermore, we examine the influence of network inherent caching on the streaming performance by varying the caching polices and the cache sizes.
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The upper bound for the average bitrate the clients can obtain is found, assuming that the network and streaming characteristics are known a priori.
“The upper bound for the average bitrate the clients can obtain is found, assuming that the network and streaming characteristics are known a priori.”
From QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey (2020) · cites this paper as [282]
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- Authors
- Rainer, B., Posch, D., & Hellwagner, H.
- Affiliations
- University of Klagenfurt (AT)
- Venue
- IEEE Journal on Selected Areas in Communications
- Published
- 2016-08
- Volume
- 34
- Issue
- 8
- Pages
- 2130-2140
- ISSN
- 0733-8716 (ISSN-L)
- OpenAlex
- W2418448952
- Cited by
- 62
- References
- 30
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 1 · 2022: 7 · 2021: 9 · 2020: 10 · 2019: 10 · 2018: 11 · 2017: 9 · 2016: 2
- FWCI
- 10.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Journal on Selected Areas in Communications (publishedVersion)
- Funders
- Austrian Science Fund (FWF) through the CHIST-ERA Project CONCERT entitled “A Context-Adaptive Content Ecosystem Under Uncertainty” (I1402)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Caching and Content Delivery
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Traffic and Congestion Control
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
- Keywords
- Named Data Networking, information-centric networking, streaming media, multicommodity flow, network caching, caching policies, forwarding strategies, content distribution, MPEG-DASH, HLS
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