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In-network quality optimization for adaptive video streaming services

Niels Bouten (UGent) , Steven Latré (UGent) , Jeroen Famaey (UGent) , Werner Van Leekwijck and Filip De Turck (UGent)
(2014) IEEE TRANSACTIONS ON MULTIMEDIA. 16(8). p.2281-2293
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Abstract
HTTP adaptive streaming (HAS) services allow the quality of streaming video to be automatically adapted by the client application in face of network and device dynamics. Due to their advantages compared to traditional techniques, HAS-based protocols are widely used for over-the-top (OTT) video streaming. However, they are yet to be adopted in managed environments, such as ISP networks. A major obstacle is the purely client-driven design of current HAS approaches, which leads to excessive quality oscillations, suboptimal behavior, and the inability to enforce management policies. Moreover, the provider has no control over the quality that is provided, which is essential when offering a managed service. This article tackles these challenges and facilitates the adoption of HAS in managed networks. Specifically, several centralized and distributed algorithms and heuristics are proposed that allow nodes inside the network to steer the HAS client's quality selection process. The algorithms are able to enforce management policies by limiting the set of available qualities for specific clients. Additionally, simulation results show that by coordinating the quality selection process across multiple clients, the proposed algorithms significantly reduce quality oscillations by a factor of five and increase the average delivered video quality by at least 14%.
Keywords
PROPORTIONAL FAIRNESS, IBCN, Adaptive systems, HTTP adaptive streaming, integer linear programming, multimedia communication, quality of experience, quality of service, streaming media

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Citation

Please use this url to cite or link to this publication:

Chicago
Bouten, Niels, Steven Latré, Jeroen Famaey, Werner Van Leekwijck, and Filip De Turck. 2014. “In-network Quality Optimization for Adaptive Video Streaming Services.” Ieee Transactions on Multimedia 16 (8): 2281–2293.
APA
Bouten, N., Latré, S., Famaey, J., Van Leekwijck, W., & De Turck, F. (2014). In-network quality optimization for adaptive video streaming services. IEEE TRANSACTIONS ON MULTIMEDIA, 16(8), 2281–2293.
Vancouver
1.
Bouten N, Latré S, Famaey J, Van Leekwijck W, De Turck F. In-network quality optimization for adaptive video streaming services. IEEE TRANSACTIONS ON MULTIMEDIA. 2014;16(8):2281–93.
MLA
Bouten, Niels, Steven Latré, Jeroen Famaey, et al. “In-network Quality Optimization for Adaptive Video Streaming Services.” IEEE TRANSACTIONS ON MULTIMEDIA 16.8 (2014): 2281–2293. Print.
@article{5951120,
  abstract     = {HTTP adaptive streaming (HAS) services allow the quality of streaming video to be automatically adapted by the client application in face of network and device dynamics. Due to their advantages compared to traditional techniques, HAS-based protocols are widely used for over-the-top (OTT) video streaming. However, they are yet to be adopted in managed environments, such as ISP networks. A major obstacle is the purely client-driven design of current HAS approaches, which leads to excessive quality oscillations, suboptimal behavior, and the inability to enforce management policies. Moreover, the provider has no control over the quality that is provided, which is essential when offering a managed service. This article tackles these challenges and facilitates the adoption of HAS in managed networks. Specifically, several centralized and distributed algorithms and heuristics are proposed that allow nodes inside the network to steer the HAS client's quality selection process. The algorithms are able to enforce management policies by limiting the set of available qualities for specific clients. Additionally, simulation results show that by coordinating the quality selection process across multiple clients, the proposed algorithms significantly reduce quality oscillations by a factor of five and increase the average delivered video quality by at least 14\%.},
  author       = {Bouten, Niels and Latr{\'e}, Steven and Famaey, Jeroen and Van Leekwijck, Werner and De Turck, Filip},
  issn         = {1520-9210},
  journal      = {IEEE TRANSACTIONS ON MULTIMEDIA},
  language     = {eng},
  number       = {8},
  pages        = {2281--2293},
  title        = {In-network quality optimization for adaptive video streaming services},
  url          = {http://dx.doi.org/10.1109/TMM.2014.2362856},
  volume       = {16},
  year         = {2014},
}

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