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A file group data replication algorithm for data grids

dc.contributor.authorRahmani, Amir Masoud
dc.contributor.authorAzari, Leila
dc.contributor.authorDaniel, Helder
dc.date.accessioned2019-11-20T15:07:23Z
dc.date.available2019-11-20T15:07:23Z
dc.date.issued2017-09
dc.description.abstractIn recent years data grids have been deployed and grown in many scientific experiments and data centers. The deployment of such environments has allowed grid users to gain access to a large number of distributed data. Data replication is a key issue in a data grid and should be applied intelligently because it reduces data access time and bandwidth consumption for each grid site. Therefore this area will be very challenging as well as providing much scope for improvement. In this paper, we introduce a new dynamic data replication algorithm named Popular File Group Replication, PFGR which is based on three assumptions: first, users in a grid site (Virtual Organization) have similar interests in files and second, they have the temporal locality of file accesses and third, all files are read-only. Based on file access history and first assumption, PFGR builds a connectivity graph for a group of dependent files in each grid site and replicates the most popular group files to the requester grid site. After that, when a user of that grid site needs some files, they are available locally. The simulation results show that our algorithm increases performance by minimizing the mean job execution time and bandwidth consumption and avoids unnecessary replication.
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1007/s10723-017-9407-1
dc.identifier.issn1570-7873
dc.identifier.issn1572-9184
dc.identifier.urihttp://hdl.handle.net/10400.1/13011
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectEnvironments
dc.titleA file group data replication algorithm for data grids
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage393
oaire.citation.issue3
oaire.citation.startPage379
oaire.citation.titleJournal of Grid Computing
oaire.citation.volume15
person.familyNameDaniel
person.givenNameHelder
person.identifier.orcid0000-0002-4477-736X
rcaap.rightsrestrictedAccess
rcaap.typearticle
relation.isAuthorOfPublication414fdea2-ad8b-4ee8-8816-094a9802593a
relation.isAuthorOfPublication.latestForDiscovery414fdea2-ad8b-4ee8-8816-094a9802593a

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