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NoSQL Scalability Performance Evaluation over Cassandra

dc.contributor.authorAbbasi, Maryam
dc.contributor.authorSá, Filipe
dc.contributor.authorAlbuquerque, Daniel
dc.contributor.authorWanzeller, Cristina
dc.contributor.authorCaldeira, Filipe
dc.contributor.authorTomé, P.
dc.contributor.authorFurtado, Pedro
dc.contributor.authorMartins, Pedro
dc.date.accessioned2023-07-04T09:50:28Z
dc.date.available2023-07-04T09:50:28Z
dc.date.issued2018-10-25
dc.date.updated2023-06-13T08:10:00Z
dc.description.abstractThe implementation of Smart-Cities is growing all over the world. From big cities to small villages, information able to provide a better and efficient urban management is collected from multiple sources (sensors). Such information has to be stored, queried, analyzed and displayed, aiming to contribute to a better quality of life for citizens and also a more sustainable environment. In this context it is important to choose the right database engine for this scenario. NoSQL databases are now generally accepted by the database community to support application niches. They are known for their scalability, simplicity, and key-indexed data storage, thus, allowing an easy data distribution and balancing over several nodes. In this paper a NoSQL engine is tested, Cassandra, which is one of the most scalable, amongst most NoSQL engines and therefore, a candidate for use in our application scenario. The paper focuses on horizontal scalability, which means that, by adding more nodes, it is possible to respond to more requests with the same or better performance, i.e., more nodes mean reduced execution time. Although, adding more computational resources, does not always result in better performance. This work assesses how each workload (e.g., data volume, simultaneous users) influence scalability performance. An overview of the Cassandra database engine is presented in the paper. Following, it will be tested and evaluated using the benchmark Yahoo Cloud Serving Benchmark (YCSB).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-030-03577-8_56pt_PT
dc.identifier.eid2-s2.0-85056474638
dc.identifier.isbn9783030035761
dc.identifier.isbn9783030035778
dc.identifier.issn2190-3018
dc.identifier.issn2190-3026
dc.identifier.slugcv-prod-878098
dc.identifier.urihttp://hdl.handle.net/10400.19/7844
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer International Publishingpt_PT
dc.subjectNoSQLpt_PT
dc.subjectCassandrapt_PT
dc.subjecthorizontal scalabilitypt_PT
dc.subjectperformancept_PT
dc.subjectdatabasept_PT
dc.subjectYCSBpt_PT
dc.subjectBigDatapt_PT
dc.subjectdistributedpt_PT
dc.subjectparallelpt_PT
dc.subjectSmart-Citypt_PT
dc.subjectCityActionpt_PT
dc.titleNoSQL Scalability Performance Evaluation over Cassandrapt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage520pt_PT
oaire.citation.startPage512pt_PT
oaire.citation.title2nd International Conference Europe Middle East & North Africa Information Systems and Technologies to support Learningpt_PT
person.familyName
person.familyNameFilipe Albuquerque
person.familyNameWanzeller Guedes de Lacerda
person.familyNameCaldeira
person.familyNamePerfeito Tomé
person.givenNameFilipe
person.givenNameDaniel
person.givenNameAna Cristina
person.givenNameFilipe
person.givenNamePaulo Rogério
person.identifierR-00H-E4X
person.identifierlXPmBvYAAAAJ
person.identifier.ciencia-id791E-0243-634F
person.identifier.ciencia-id2C16-91D6-5F09
person.identifier.ciencia-idE81F-11C0-E77C
person.identifier.ciencia-idCB11-8109-AB1D
person.identifier.ciencia-id6B1C-0282-75C1
person.identifier.orcid0000-0002-7846-8397
person.identifier.orcid0000-0002-8897-9123
person.identifier.orcid0000-0001-7558-2330
person.identifier.orcid0000-0003-3021-8740
person.identifier.scopus-author-id8447524700
person.identifier.scopus-author-id36023210300
rcaap.cv.cienciaidCB11-8109-AB1D | Filipe Caldeira
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication.latestForDiscoverye845705e-5b0b-4f70-9c53-c472ffd768d1

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