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dc.date.accessioned2013-03-12T08:05:34Z
dc.date.available2013-03-12T08:05:34Z
dc.date.issued2005en_US
dc.date.submitted2005-06-20en_US
dc.identifier.citationEriksen, Claudia. Comparison of OpenAFS, NFS and Samba. Masteroppgave, University of Oslo, 2005en_US
dc.identifier.urihttp://hdl.handle.net/10852/9294
dc.description.abstractBy making use of a distributed file system, users of physically distributed computers are allowed to share data and storage resources. This paper compares three distributed filesystems: the Sun NFS filesystem, Samba and OpenAFS. The emphasis of the comparison is on the functionality, management and performance of these three file systems in a heterogenous network. The iozone filesystem benchmark tool was used to gathered information about how well these filesystems performs read/write operations, in order to numerically characterize the performance. Analyzing and properly understanding the data gathered from the measurements, reveals that Samba and NFS perform almost equally on windows machines equipped with different Operating Systems and hardware. On a client running SuSE9.1 NFS has the best performance for both read and write operations. OpenAFS had the lowest performance on windows machines and on the client running it performed as well as Samba. The paper concludes with a recommendation for which distributed filesystem best suits which computing environment.nor
dc.language.isoengen_US
dc.titleComparison of OpenAFS, NFS and Sambaen_US
dc.typeMaster thesisen_US
dc.date.updated2005-07-25en_US
dc.creator.authorEriksen, Claudiaen_US
dc.subject.nsiVDP::420en_US
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft.au=Eriksen, Claudia&rft.title=Comparison of OpenAFS, NFS and Samba&rft.inst=University of Oslo&rft.date=2005&rft.degree=Masteroppgaveen_US
dc.identifier.urnURN:NBN:no-10637en_US
dc.type.documentMasteroppgaveen_US
dc.identifier.duo28223en_US
dc.contributor.supervisorDag Frette Langmyhr, Aurmo Odden_US
dc.identifier.bibsys051369648en_US
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/9294/1/Thesis.pdf


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