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https://hdl.handle.net/1822/52869
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Campo DC | Valor | Idioma |
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dc.contributor.author | Neves, Francisco | por |
dc.contributor.author | Vilaça, Ricardo Manuel Pereira | por |
dc.contributor.author | Pereira, José | por |
dc.contributor.author | Oliveira, Rui Carlos Mendes de | por |
dc.date.accessioned | 2018-03-19T21:08:32Z | - |
dc.date.issued | 2017 | - |
dc.identifier.isbn | 9781450344869 | por |
dc.identifier.uri | https://hdl.handle.net/1822/52869 | - |
dc.description.abstract | The ability of NoSQL systems to scale better than traditional relational databases motivates a large set of applications to migrate their data to NoSQL systems, even without aiming to exploit the provided schema exibility. However, accessing structured data is costly due to such exibility, incurring in a lot of bandwidth and processing unit usage. In this paper, we analyse this cost in Apache HBase and propose a new scan operation, named Prepared Scan, that optimizes the access to data structured in a regular manner by taking advantage of a well-known schema by application. Using an industry standard benchmark, we show that Prepared Scan improves throughput up to 29% and decreases network bandwidth consumption up to 20%. | por |
dc.description.sponsorship | The research leading to this publication was funded by the European Commission’s H2020 under grant agreement number 732051, CloudDbAppliance project. This work is also financed by ERDF - European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation - COMPETE 2020 Programme within project POCI-01-0145-FEDER-006961, and by National Funds through the Portuguese funding agency, FCT - Fundação para a Ciência e a Tecnologia as part of project UID/EEA/50014/2013. | por |
dc.language.iso | eng | por |
dc.publisher | Association for Computing Machinery (ACM) | por |
dc.relation | info:eu-repo/grantAgreement/FCT/5876/147326/PT | por |
dc.relation | 732051 | por |
dc.relation | info:eu-repo/grantAgreement/FCT/5876/147326/PT | por |
dc.rights | restrictedAccess | por |
dc.subject | NoSQL | por |
dc.subject | Performance optimization | por |
dc.subject | Structured data | por |
dc.title | Prepared scan: Efficient retrieval of structured data from HBase | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
oaire.citationStartPage | 462 | por |
oaire.citationEndPage | 464 | por |
oaire.citationVolume | Part F128005 | por |
dc.date.updated | 2018-03-16T12:18:24Z | - |
dc.identifier.doi | 10.1145/3019612.3019863 | por |
dc.description.publicationversion | info:eu-repo/semantics/publishedVersion | por |
sdum.export.identifier | 4551 | - |
sdum.conferencePublication | Proceedings of the ACM Symposium on Applied Computing | por |
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