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Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/93489
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dc.contributor.authorVella, Joseph G.-
dc.contributor.authorNezval, Vitezslav-
dc.date.accessioned2022-04-12T10:01:32Z-
dc.date.available2022-04-12T10:01:32Z-
dc.date.issued2017-08-
dc.identifier.citationCamilleri, C., Vella, J. G., & Nezval, V. (2017). Thespis: actor-based causal consistency. 2nd International Workshop on Big Data Management in Cloud System (Workshop BDMICS'17). 42-46.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/93489-
dc.description.abstractThespis is a middleware that innovatively leverages the Actor model to implement causal consistency over an industry-standard database, whilst abstracting complexities for application developers behind a REST open-protocol interface. Our evaluation considers correctness, performance and scalability aspects. We also run empirical experiments using YCSB to show the efficacy of the approach for a variety of workloads.en_GB
dc.language.isoenen_GB
dc.publisherDEXAen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectMiddlewareen_GB
dc.subjectActor (Computer program language)en_GB
dc.subjectDatabase managementen_GB
dc.subjectDistributed databasesen_GB
dc.titleThespis : actor-based causal consistencyen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencename2nd International Workshop on Big Data Management in Cloud System (Workshop BDMICS'17)en_GB
dc.bibliographicCitation.conferenceplaceLyon, France, 28-31/08/2017en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1109/DEXA.2017.25-
dc.contributor.author2Camilleri, Carl-
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