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A cluster oriented model for dynamically balanced DHTs

dc.contributor.authorRufino, José
dc.contributor.authorPina, António
dc.contributor.authorAlves, Albano
dc.contributor.authorExposto, José
dc.date.accessioned2008-04-08T10:46:12Z
dc.date.available2008-04-08T10:46:12Z
dc.date.issued2004
dc.description.abstractIn this paper, we refine previous work on a model for a Distributed Hash Table (DHT) with support to dynamic balancement across a set of heterogeneous cluster nodes. We present new high-level entities, invariants and algorithms developed to increase the level of parallelism and globally reduce memory utilization. In opposition to a global distribution mechanism, that relies on complete knowledge about the current distribution of the hash table, we adopt a local approach, based on the division of the DHT into separated regions, that possess only partial knowledge of the global hash table. Simulation results confirm the hypothesis that the increasing of parallelism has as counterpart the degradation of the quality of the balancement achieved with the global approach. However, when compared with Consistent Hashing and our global approach, the same results clarify the relative merits of the extension, showing that, when properly parameterized, the model is still competitive, both in terms of the quality of the distribution and scalability.en
dc.description.sponsorshipPRODEP III (grant 5.3/N/199.006/00)en
dc.description.sponsorshipSAPIENS (grant 41739/CHS/2001)en
dc.event.date26/4/2004-30/4/2004en
dc.event.locationSanta Fe, USAen
dc.event.title18th International Parallel & Distributed Processing Symposium (IPDPS'04)en
dc.event.typeConferênciaen
dc.identifier.citationRufino, José; Pina, António; Alves, Albano; Exposto, José (2004). A cluster oriented model for dynamically balanced DHTs. In 18th International Parallel & Distributed Processing Symposium. Santa Fe, USA. p.23-31en
dc.identifier.urihttp://hdl.handle.net/10198/615
dc.language.isoengen
dc.pagination23-31en
dc.peerreviewedyesen
dc.publisherIEEEen
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1302931en
dc.subjectCluster computingen
dc.subjectDistributed hash tablesen
dc.subjectPartitioning strategiesen
dc.titleA cluster oriented model for dynamically balanced DHTsen
dc.typeconference paper
dspace.entity.typePublication
person.familyNameRufino
person.familyNameAlves
person.familyNameExposto
person.givenNameJosé
person.givenNameAlbano
person.givenNameJosé
person.identifier.ciencia-idC414-F47F-6323
person.identifier.ciencia-id281A-DD4A-2605
person.identifier.ciencia-idDA10-808F-99EA
person.identifier.orcid0000-0002-1344-8264
person.identifier.orcid0000-0001-9796-6810
person.identifier.orcid0000-0003-3857-6083
person.identifier.scopus-author-id55947199100
person.identifier.scopus-author-id56619498700
rcaap.rightsopenAccessen
rcaap.typeconferenceObjecten
relation.isAuthorOfPublication1e24d2ce-a354-442a-bef8-eebadd94b385
relation.isAuthorOfPublication80d7f985-d700-4911-8974-b2678816db35
relation.isAuthorOfPublication66fd8128-90b1-4754-936e-2d9e9e0829ec
relation.isAuthorOfPublication.latestForDiscovery66fd8128-90b1-4754-936e-2d9e9e0829ec

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