Managing video objects in large peer-to-peer systems

dc.contributor.author Chen, Zhan
dc.contributor.department Department of Computer Science
dc.date 2020-11-06T02:21:47.000
dc.date.accessioned 2021-02-26T08:52:06Z
dc.date.available 2021-02-26T08:52:06Z
dc.date.copyright Thu Jan 01 00:00:00 UTC 2004
dc.date.issued 2004-01-01
dc.description.abstract <p>In peer-to-peer video systems, most hosts will retain only a small portion of a video after its playback. This presents two challenges in managing video data in such systems: (1) how a host can find enough video pieces, which may scatter among the whole system, to assemble a complete video, and (2) given a limited buffer size, what part of a video a host should cache. In this thesis, we address these problems with a new distributive file management technique. In our scheme, we organize hosts into many cells, each of which is a distinct set of hosts which together can supply a video in its entirety. Because each cell is dynamically created and individually managed as an independent video supplier, our technique addresses the two problems, video lookup and caching, simultaneously. First, a client looking for a video can stop its search as soon as it finds a host that caches any part of the video. This dramatically reduces the search scope of a video lookup. Second, caching operations can now be coordinated within each cell to balance data redundancy in the system. We have implemented a Gnutella-like simulation network and use it as a testbed to evaluate the proposed technique. Our extensive study shows convincingly the performance advantage of the new scheme.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/rtd/20380/
dc.identifier.articleid 21379
dc.identifier.contextkey 19953102
dc.identifier.doi https://doi.org/10.31274/rtd-20201023-54
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath rtd/20380
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/97747
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/rtd/20380/Chen_ISU_2004_C546.pdf|||Fri Jan 14 22:24:12 UTC 2022
dc.subject.keywords Computer science
dc.title Managing video objects in large peer-to-peer systems
dc.type thesis en_US
dc.type.genre thesis en_US
dspace.entity.type Publication
relation.isOrgUnitOfPublication f7be4eb9-d1d0-4081-859b-b15cee251456
thesis.degree.discipline Computer Science
thesis.degree.level thesis
thesis.degree.name Master of Science
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