Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/23010
DC FieldValueLanguage
dc.contributor.authorGeorgiou, Michael A.-
dc.contributor.authorPanayiotou, Michael-
dc.contributor.authorOdysseos, Lambros-
dc.contributor.authorPaphitis, Aristodemos-
dc.contributor.authorSirivianos, Michael-
dc.contributor.authorHerodotou, Herodotos-
dc.date.accessioned2021-09-09T09:42:54Z-
dc.date.available2021-09-09T09:42:54Z-
dc.date.issued2021-06-
dc.identifier.citationInternational Conference on Management of Data, 2021, 20-25 Juneen_US
dc.identifier.isbn9781450383431-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/23010-
dc.description.abstractDatabase replication can be employed for scaling transactional workloads while maintaining strong consistency semantics. However, past approaches suffer from various issues such as limited scalability, performance versus consistency tradeoffs, and requirements for database or application modifications. Hihooi is a new replication-based master-slave middleware system that is able to overcome the aforementioned limitations. The novelty of Hihooi lies in its modern architecture as well as its replication and transaction routing algorithms. In particular, Hihooi replicates all write statements asynchronously and applies them in parallel at the replica nodes, while ensuring replica consistency. At the same time, a fine-grained transaction routing algorithm ensures that all read transactions are load balanced to the replicas consistently. This demonstration will showcase the key functionalities of Hihooi, including (i) practical management of system components and databases (e.g., add a new replica node), (ii) increased scalability compared to state-of-the-art approaches, and (iii) support for elasticity by suspending and resuming database replicas online without service interruption.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© ACMen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
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.titleAttaining Workload Scalability and Strong Consistency for Replicated Databases with Hihooien_US
dc.typeConference Papersen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryComputer and Information Sciencesen_US
dc.countryCyprusen_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceInternational Conference on Management of Dataen_US
dc.identifier.doi10.1145/3448016.3452746en_US
dc.identifier.scopus2-s2.0-85108969464-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85108969464-
cut.common.academicyear2020-2021en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.openairetypeconferenceObject-
item.languageiso639-1en-
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-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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