Show simple item record

Files in this item

Thumbnail

Item metadata

dc.contributor.authorLi, Wenjie
dc.contributor.authorOteafy, Sharief
dc.contributor.authorFayed, Marwan
dc.contributor.authorHassanein, Hossam S.
dc.date.accessioned2018-09-30T23:47:24Z
dc.date.available2018-09-30T23:47:24Z
dc.date.issued2018-10-01
dc.identifier255714980
dc.identifierea1f53de-d811-4c03-96f6-78d8fe4b5582
dc.identifier85062887536
dc.identifier000717452300045
dc.identifier.citationLi , W , Oteafy , S , Fayed , M & Hassanein , H S 2018 , Bitrate adaptation-aware cache partitioning for video streaming over Information-centric Networks . in 2018 IEEE 43rd Conference on Local Computer Networks (LCN) (LCN 2018) . Institute of Electrical and Electronics Engineers Inc. , Chicago, USA , 43nd IEEE Conference on Local Computer Networks (LCN) , Chicago , Illinois , United States , 1/10/18 .en
dc.identifier.citationconferenceen
dc.identifier.otherBibtex: urn:7bb9d0837c39071e45e5a794b2e3c599
dc.identifier.otherORCID: /0000-0002-0970-7972/work/49052313
dc.identifier.urihttps://hdl.handle.net/10023/16112
dc.description.abstractRecent studies suggest that performance gains for content delivery over Information-centric Networks (ICNs) may be negated by Dynamic Adaptive Streaming (DAS), the de facto method for retrieval of multimedia content. The bitrate adaptation mechanism that drives video streaming appears to clash with generic ICN caching techniques in ways that affect users' Quality of Experience (QoE). Cache performance diminishes as video consumers dynamically select content encoded at different bitrates. Motivated by preliminary evidence suggesting the merits of bitrate-based cache partitioning, we introduce a scheme to dissect the cache capacity of routers along a forwarding path according to dedicated bitrates. To facilitate this partitioning, we propose a guiding principle RippleCache, which stabilizes bandwidth fluctuation while achieving high cache utilization by safeguarding high-bitrate content on the edge and pushing low-bitrate content into the network core. We further propose a cache placement scheme, RippleFinder, to realize this RippleCache principle and highlight its impact on users' QoE by cache partitioning. The performance gains are reinforced by evaluations in NS-3. Measurements show RippleFinder can significantly reduce bitrate oscillation, while ensuring high video quality, indicating overall improvement to QoE.
dc.format.extent2965506
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2018 IEEE 43rd Conference on Local Computer Networks (LCN) (LCN 2018)en
dc.subjectInformation Centric Networksen
dc.subjectNamed Data Networkingen
dc.subjectDynamic Adaptive Streamingen
dc.subjectIN-network Cachingen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectT Technologyen
dc.subjectNDASen
dc.subject.lccQA75en
dc.subject.lccTen
dc.titleBitrate adaptation-aware cache partitioning for video streaming over Information-centric Networksen
dc.typeConference itemen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.date.embargoedUntil2018-10-01


This item appears in the following Collection(s)

Show simple item record