Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/23910
DC FieldValueLanguage
dc.contributor.authorGeorgiou, Michael A.-
dc.contributor.authorPaphitis, Aristodemos-
dc.contributor.authorSirivianos, Michael-
dc.contributor.authorHerodotou, Herodotos-
dc.date.accessioned2022-02-07T09:33:00Z-
dc.date.available2022-02-07T09:33:00Z-
dc.date.issued2022-02-
dc.identifier.citationIEEE Transactions on Knowledge and Data Engineering, 2022, vol. 34, no. 2, pp. 691-707en_US
dc.identifier.issn15582191-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/23910-
dc.description.abstractWith the advent of the Internet and Internet-connected devices, modern business applications can experience rapid increases as well as variability in transactional workloads. Database replication has been employed to scale performance and improve availability of relational databases but past approaches have suffered from various issues including limited scalability, performance versus consistency tradeoffs, and requirements for database or application modifications. This paper presents Hihooi, a replication-based middleware system that is able to achieve workload scalability, strong consistency guarantees, and elasticity for existing transactional databases at a low cost. A novel replication algorithm enables Hihooi to propagate database modifications asynchronously to all replicas at high speeds, while ensuring that all replicas are consistent. At the same time, a fine-grained routing algorithm is used to load balance incoming transactions to available replicas in a consistent way. Our thorough experimental evaluation with several well-established benchmarks shows how Hihooi is able to achieve almost linear workload scalability for transactional databases.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Transactions on Knowledge and Data Engineeringen_US
dc.rights© IEEEen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectDatabase replicationen_US
dc.subjectTransaction processingen_US
dc.subjectWorkload scalabilityen_US
dc.subjectConcurrency controlen_US
dc.titleHihooi: A Database Replication Middleware for Scaling Transactional Databases Consistentlyen_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryComputer and Information Sciencesen_US
dc.journalsSubscriptionen_US
dc.countryCyprusen_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1109/TKDE.2020.2987560en_US
dc.identifier.urlhttp://arxiv.org/abs/2003.07432v2-
dc.relation.issue2en_US
dc.relation.volume34en_US
cut.common.academicyear2021-2022en_US
dc.identifier.spage691en_US
dc.identifier.epage707en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.languageiso639-1en-
crisitem.journal.journalissn1558-2191-
crisitem.journal.publisherIEEE-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-6500-581X-
crisitem.author.orcid0000-0002-8717-1691-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
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