In-network adaptation of SHVC video in software-defined networks

Olatunde Awobuluyi, James Nightingale, Qi Wang, Jose Maria Alcaraz Calero, Christos Grecos

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)

Abstract

Software Defined Networks (SDN), when combined with Network Function Virtualization (NFV) represents a paradigm shift in how future networks will behave and be managed. SDN's are expected to provide the underpinning technologies for future innovations such as 5G mobile networks and the Internet of Everything. The SDN architecture offers features that facilitate an abstracted and centralized global network view in which packet forwarding or dropping decisions are based on application flows. Software Defined Networks facilitate a wide range of network management tasks, including the adaptation of real-time video streams as they traverse the network. SHVC, the scalable extension to the recent H.265 standard is a new video encoding standard that supports ultra-high definition video streams with spatial resolutions of up to 7680×4320 and frame rates of 60fps or more. The massive increase in bandwidth required to deliver these U-HD video streams dwarfs the bandwidth requirements of current high definition (HD) video. Such large bandwidth increases pose very significant challenges for network operators. In this paper we go substantially beyond the limited number of existing implementations and proposals for video streaming in SDN's all of which have primarily focused on traffic engineering solutions such as load balancing. By implementing and empirically evaluating an SDN enabled Media Adaptation Network Entity (MANE) we provide a valuable empirical insight into the benefits and limitations of SDN enabled video adaptation for real time video applications. The SDN-MANE is the video adaptation component of our Video Quality Assurance Manager (VQAM) SDN control plane application, which also includes an SDN monitoring component to acquire network metrics and a decision making engine using algorithms to determine the optimum adaptation strategy for any real time video application flow given the current network conditions. Our proposed VQAM application has been implemented and evaluated on an SDN allowing us to provide important benchmarks for video streaming over SDN and for SDN control plane latency.

LanguageEnglish
Title of host publicationReal-Time image and video processing 2016
Volume9897
ISBN (Electronic)9781510601420
DOIs
Publication statusPublished - 1 Jan 2016
EventReal-Time Image and Video Processing 2016 - Brussels, Belgium
Duration: 7 Apr 2016 → …

Conference

ConferenceReal-Time Image and Video Processing 2016
CountryBelgium
CityBrussels
Period7/04/16 → …

Fingerprint

computer programs
Software
Video streaming
Quality assurance
Bandwidth
Managers
Network management
Network architecture
Telecommunication traffic
Resource allocation
Wireless networks
Innovation
Decision making
Internet
Engines
network control
Video Streaming
Video Quality
Quality Assurance
Monitoring

Keywords

  • H.265
  • MANE
  • OpenFlow.
  • QoE
  • SDN
  • SHVC
  • VQAM
  • VQO

Cite this

Awobuluyi, O., Nightingale, J., Wang, Q., Alcaraz Calero, J. M., & Grecos, C. (2016). In-network adaptation of SHVC video in software-defined networks. In Real-Time image and video processing 2016 (Vol. 9897). [98970C] https://doi.org/10.1117/12.2227550
Awobuluyi, Olatunde ; Nightingale, James ; Wang, Qi ; Alcaraz Calero, Jose Maria ; Grecos, Christos. / In-network adaptation of SHVC video in software-defined networks. Real-Time image and video processing 2016. Vol. 9897 2016.
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Awobuluyi, O, Nightingale, J, Wang, Q, Alcaraz Calero, JM & Grecos, C 2016, In-network adaptation of SHVC video in software-defined networks. in Real-Time image and video processing 2016. vol. 9897, 98970C, Real-Time Image and Video Processing 2016, Brussels, Belgium, 7/04/16. https://doi.org/10.1117/12.2227550

In-network adaptation of SHVC video in software-defined networks. / Awobuluyi, Olatunde; Nightingale, James; Wang, Qi; Alcaraz Calero, Jose Maria; Grecos, Christos.

Real-Time image and video processing 2016. Vol. 9897 2016. 98970C.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Awobuluyi O, Nightingale J, Wang Q, Alcaraz Calero JM, Grecos C. In-network adaptation of SHVC video in software-defined networks. In Real-Time image and video processing 2016. Vol. 9897. 2016. 98970C https://doi.org/10.1117/12.2227550