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DC Field | Value | Language |
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dc.contributor.author | Suphakit Awiphan | en_US |
dc.contributor.author | Kanin Poobai | en_US |
dc.contributor.author | Kenji Kanai | en_US |
dc.contributor.author | Jiro Katto | en_US |
dc.date.accessioned | 2018-11-29T07:38:07Z | - |
dc.date.available | 2018-11-29T07:38:07Z | - |
dc.date.issued | 2018-09-11 | en_US |
dc.identifier.other | 2-s2.0-85054802207 | en_US |
dc.identifier.other | 10.1109/CCOMS.2018.8463312 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85054802207&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/62648 | - |
dc.description.abstract | © 2018 IEEE. Named Data Networking (NDN) has been recently introduced as a new network architecture. The implementation of adaptive bit-rate video streaming on NDN is one of the most challenging tasks. The in-network caching feature of NDN could mislead a consumer to overestimate the end-to-end throughput for the next video segment. In this paper, we propose a strategy for more efficient rate adaptation by allowing Interest message adaptation in a hop-by-hop fashion. Moreover, the proactive content caching is designed to be utilized on the related router when a bottleneck on the transmission path was detected. The experiments using NDN-JS and DASH-JS demonstrate that our proposed solution provides better average stream bit-rate than the traditional rate adaptation method. Also, the link bandwidth consumption for video data transmission using the proposed scheme could be reduced efficiently. | en_US |
dc.subject | Computer Science | en_US |
dc.title | Proactive Interest Adaptation and Content Caching for Adaptive Bit-Rate Video Streaming over NDN | en_US |
dc.type | Conference Proceeding | en_US |
article.title.sourcetitle | 2018 3rd International Conference on Computer and Communication Systems, ICCCS 2018 | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
article.stream.affiliations | Waseda University | en_US |
Appears in Collections: | CMUL: Journal Articles |
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