Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/68499

Registo completo
Campo DCValorIdioma
dc.contributor.authorEnes, Vitorpor
dc.contributor.authorAlmeida, Paulo Sérgiopor
dc.contributor.authorBaquero, Carlospor
dc.contributor.authorLeitão, Joãopor
dc.date.accessioned2020-12-11T13:53:57Z-
dc.date.available2020-12-11T13:53:57Z-
dc.date.issued2019-01-01-
dc.identifier.citationEnes, V., Almeida, P. S., Baquero, C., & Leitao, J. (2019, April). Efficient Synchronization of State-Based CRDTs. 2019 IEEE 35th International Conference on Data Engineering (ICDE). IEEE. http://doi.org/10.1109/icde.2019.00022-
dc.identifier.isbn9781538674741-
dc.identifier.issn1084-4627-
dc.identifier.urihttps://hdl.handle.net/1822/68499-
dc.description.abstractTo ensure high availability in large scale distributed systems, Conflict-free Replicated Data Types (CRDTs) relax consistency by allowing immediate query and update operations at the local replica, with no need for remote synchronization. State-based CRDTs synchronize replicas by periodically sending their full state to other replicas, which can become extremely costly as the CRDT state grows. Delta-based CRDTs address this problem by producing small incremental states (deltas) to be used in synchronization instead of the full state. However, current synchronization algorithms for delta-based CRDTs induce redundant wasteful delta propagation, performing worse than expected, and surprisingly, no better than state-based. In this paper we: 1) identify two sources of inefficiency in current synchronization algorithms for delta-based CRDTs; 2) bring the concept of join decomposition to state-based CRDTs; 3) exploit join decompositions to obtain optimal deltas and 4) improve the efficiency of synchronization algorithms; and finally, 5) experimentally evaluate the improved algorithms.por
dc.description.sponsorshipWe would like to thank Ricardo Macedo, Georges Younes, Marc Shapiro and the anonymous reviewers for their valuable feedback on earlier drafts of this work. Vitor Enes was supported by EU H2020 LightKone project (732505) and by a FCT -Fundacao para a Ciencia e a Tecnologia -PhD Fellowship (PD/BD/142927/2018). Carlos Baquero was partially supported by SMILES within TEC4Growth project (NORTE-01-0145-FEDER-000020). Joao Leitao was partially supported by project NG-STORAGE through FCT grant PTDC/CCI-INF/32038/2017, and by NOVA LINCS through the FCT grant UID/CEC/04516/2013.por
dc.language.isoengpor
dc.publisherIEEEpor
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/732505/EU-
dc.relationinfo:eu-repo/grantAgreement/FCT/POR_NORTE/PD%2FBD%2F142927%2F2018/PT-
dc.relationinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FCCI-INF%2F32038%2F2017/PT-
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147279/PT-
dc.rightsopenAccesspor
dc.subjectCRDTspor
dc.subjectOptimal Deltaspor
dc.subjectJoin Decompositionpor
dc.titleEfficient Synchronization of State-based CRDTspor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8731395por
oaire.citationStartPage148por
oaire.citationEndPage159por
oaire.citationVolume2019-Aprilpor
dc.date.updated2020-12-11T10:46:50Z-
dc.identifier.doi10.1109/ICDE.2019.00022por
dc.subject.wosScience & Technology-
sdum.export.identifier7573-
sdum.journalProceedings - International Conference on Data Engineeringpor
sdum.conferencePublication2019 IEEE 35th International Conference on Data Engineering (ICDE 2019)por
sdum.bookTitle2019 IEEE 35th international conference on data engineering (ICDE 2019)por
Aparece nas coleções:HASLab - Artigos em atas de conferências internacionais (texto completo)

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
main.pdf989,92 kBAdobe PDFVer/Abrir

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID