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Enriching Kademlia by Partitioning

dc.contributor.authorMonteiro, João
dc.contributor.authorCosta, Pedro Akos
dc.contributor.authorLeitão, João
dc.contributor.authorDe La Rocha, Alfonso
dc.contributor.authorPsaras, Yiannis
dc.contributor.institutionDI - Departamento de Informática
dc.contributor.institutionNOVALincs
dc.coverage.spatialNew Jersey
dc.date.accessioned2023-08-01T22:13:21Z
dc.date.available2023-08-01T22:13:21Z
dc.date.issued2022
dc.descriptionExperiments presented in this paper were carried out using the Grid'5000 testbed, supported by a scientific interest group hosted by Inria and including CNRS, RENATER and several Universities as well as other organizations (see https://www.grid5000.fr). Publisher Copyright: © 2022 IEEE.
dc.description.abstractDecentralizing the Web is becoming an increasingly interesting endeavor that aims at improving user security and privacy as well as providing guaranteed ownership of content. One such endeavor that pushes towards this reality, is Protocol Labs' Inter-Planetary File System (IPFS) network, that provides a decentralized large scale file system to support the decentralized Web. To achieve this, the IPFS network leverages the Kademlia DHT to route and store pointers to content stored by network members (i.e., peers). However, due to the large number of network peers, content, and accesses, the DHT routing needs to be efficient and quick to enable a decentralized web that is competitive. In this paper, we present work in progress that aims at improving the Kademlia DHT performance through the manipulation of DHT identifiers by adding prefixes to identifiers. With this, we are able to bias the DHT topological organization towards locality (which can be either geographical or applicational), which creates partitions in the DHT and enables faster and more efficient query resolution on local content. We designed prototypes that implement our proposal, and performed a first evaluation of our work in an emulated network testbed composed of 5000 nodes. Our results show that our proposal can benefit the DHT look up on data with locality with minimal overhead.en
dc.description.versionauthorsversion
dc.description.versionpublished
dc.format.extent6
dc.format.extent316052
dc.identifier.doi10.1109/ICDCSW56584.2022.00016
dc.identifier.isbn978-1-6654-8880-8
dc.identifier.isbn978-1-6654-8879-2
dc.identifier.issn1545-0678
dc.identifier.otherPURE: 53491327
dc.identifier.otherPURE UUID: 34a73651-cfff-4d04-9fd6-a4d872c02eb9
dc.identifier.otherScopus: 85143845166
dc.identifier.otherORCID: /0000-0001-7916-980X/work/128970080
dc.identifier.urihttp://hdl.handle.net/10362/156119
dc.identifier.urlhttps://www.scopus.com/pages/publications/85143845166
dc.language.isoeng
dc.peerreviewedyes
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relationFunding Information: info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FCEC%2F04516%2F2013/PT
dc.relationinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FCCI-INF%2F32038%2F2017/PT
dc.relationNew Generation of data STORage And manaGement systEms
dc.subjectDecentralized Web
dc.subjectDistributed Hash Tables
dc.subjectPeer-to-Peer
dc.subjectComputer Networks and Communications
dc.subjectHardware and Architecture
dc.subjectInformation Systems
dc.subjectInformation Systems and Management
dc.titleEnriching Kademlia by Partitioningen
dc.typeconference object
degois.publication.firstPage33
degois.publication.lastPage38
degois.publication.titleProceedings
degois.publication.title42nd IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2022
dspace.entity.typePublication
oaire.awardNumberPTDC/CCI-INF/32038/2017
oaire.awardTitleNew Generation of data STORage And manaGement systEms
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FCCI-INF%2F32038%2F2017/PT
oaire.fundingStream3599-PPCDT
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublication54595a8b-0fb4-4806-b13e-6f5f4295bb9d
relation.isProjectOfPublication.latestForDiscovery54595a8b-0fb4-4806-b13e-6f5f4295bb9d

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