Outbound face selection considering response time and buffer usage for CCN adaptive video streaming

© 2015 IEEE. Content Centric Networking (CCN) has been emerged as a new networking paradigm. In CCN, adaptive video streaming is one of the most promising technologies. However, rate adaptation and outbound face selection are the primary concern since a node cannot reliably estimate the end-to-end t...

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Main Authors: Awiphan S., Muto T., Su Z., Katto J.
Format: Conference Proceeding
Published: 2017
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84978081774&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/42136
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-421362017-09-28T04:25:27Z Outbound face selection considering response time and buffer usage for CCN adaptive video streaming Awiphan S. Muto T. Su Z. Katto J. © 2015 IEEE. Content Centric Networking (CCN) has been emerged as a new networking paradigm. In CCN, adaptive video streaming is one of the most promising technologies. However, rate adaptation and outbound face selection are the primary concern since a node cannot reliably estimate the end-to-end throughput. In this paper, we propose a strategy for outbound face selection considering both response time and bit-rate of lost packets. These two aspects facilitate the node to choose which outbound face offers the best QoE. In a case where bit-rate of lost packets is greater than a half of transmitted bit-rate, the node will re-select outbound faces to avoid intermittent streaming. The experiments performed using CCNx demonstrate that our approach provides better average stream bit-rate than the earlier response time based method. 2017-09-28T04:25:26Z 2017-09-28T04:25:26Z 2016-01-25 Conference Proceeding 2-s2.0-84978081774 10.1109/CSCN.2015.7390441 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84978081774&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/42136
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description © 2015 IEEE. Content Centric Networking (CCN) has been emerged as a new networking paradigm. In CCN, adaptive video streaming is one of the most promising technologies. However, rate adaptation and outbound face selection are the primary concern since a node cannot reliably estimate the end-to-end throughput. In this paper, we propose a strategy for outbound face selection considering both response time and bit-rate of lost packets. These two aspects facilitate the node to choose which outbound face offers the best QoE. In a case where bit-rate of lost packets is greater than a half of transmitted bit-rate, the node will re-select outbound faces to avoid intermittent streaming. The experiments performed using CCNx demonstrate that our approach provides better average stream bit-rate than the earlier response time based method.
format Conference Proceeding
author Awiphan S.
Muto T.
Su Z.
Katto J.
spellingShingle Awiphan S.
Muto T.
Su Z.
Katto J.
Outbound face selection considering response time and buffer usage for CCN adaptive video streaming
author_facet Awiphan S.
Muto T.
Su Z.
Katto J.
author_sort Awiphan S.
title Outbound face selection considering response time and buffer usage for CCN adaptive video streaming
title_short Outbound face selection considering response time and buffer usage for CCN adaptive video streaming
title_full Outbound face selection considering response time and buffer usage for CCN adaptive video streaming
title_fullStr Outbound face selection considering response time and buffer usage for CCN adaptive video streaming
title_full_unstemmed Outbound face selection considering response time and buffer usage for CCN adaptive video streaming
title_sort outbound face selection considering response time and buffer usage for ccn adaptive video streaming
publishDate 2017
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84978081774&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/42136
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