Performance evaluation of scalable video stream over bandwidth constrained network using software defined networks

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

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

Abstract

Scalable Video Coding is one of the layered video coding method, which codes the video into different temporal, spatial and quality scalability levels. It allows partial removal of the scalable video levels to provide good QoE/QoS in a resource constrained environment. In a heterogeneous environment of devices and network technology, resources vary from device to device and one technology to another. In such cases, scalable video coding is suitable to streaming as it improves user satisfaction. Network bandwidth is one such parameter, which has a higher impact on the video quality that is streamed between the media server and a receiving device. This paper simulates video streaming over bandwidth constrained network to study the performance of video on bandwidth variations. Here, network with different topologies and bandwidth are created using Mininet tool and Scalable video levels generated using JSVM are streamed and recorded using VLC. Later, the video is compared with the origin one to verify the objective video quality at receivers.

Original languageEnglish
Title of host publication2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1042-1047
Number of pages6
Volume2017-January
ISBN (Electronic)9781509063673
DOIs
Publication statusPublished - 30-11-2017
Event2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 - Manipal, Mangalore, India
Duration: 13-09-201716-09-2017

Conference

Conference2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
CountryIndia
CityManipal, Mangalore
Period13-09-1716-09-17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

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