Estimation of Adaptation Parameters for Scalable Video Streaming over Software Defined Networks

M. Ramakrishna, Royce Charles Fernandes, A. K. Karunakar

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

Scalable Video adaptation is process of extracting the scalable video levels, which can be realized by technologies such as Software Defined Network and Content Aware Network, where devices are capable of processing packets based on the content that flows through them. The main challenge involved in the adaptation process is building the prior knowledge required for deciding the number of scalable layers. This paper implements Scalable Video streaming over a Software Defined Network. From this work, we derive the prior knowledge required by the controller to identify the adaptation parameters for different network conditions and video types.

Original languageEnglish
Pages (from-to)715-722
Number of pages8
JournalProcedia Computer Science
Volume115
Early online date16 Oct 2017
DOIs
Publication statusPublished - 2017
Event7th International Conference on Advances in Computing and Communications, ICACC 2017 - Kochi, Kerala, India
Duration: 22 Aug 201724 Aug 2017

Keywords

  • Content Aware Networking
  • Future Internet
  • Scalable Video Coding
  • Software Defined Networks
  • Video Adaptation
  • Video Streaming

ASJC Scopus subject areas

  • Computer Science(all)

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