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Uncertainty-aware event analytics over distributed settings

Giatrakos Nikolaos, Artikis, Alexander, Deligiannakis Antonios, Garofalakis Minos

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URIhttp://purl.tuc.gr/dl/dias/3C2FB0E7-031E-4ECB-8460-571641CB6430-
Identifierhttps://doi.org/10.1145/3328905.3329763-
Identifierhttps://dl.acm.org/doi/10.1145/3328905.3329763-
Languageen-
Extent12 pagesen
TitleUncertainty-aware event analytics over distributed settingsen
CreatorGiatrakos Nikolaosen
CreatorΓιατρακος Νικολαοςel
CreatorArtikis, Alexanderen
CreatorDeligiannakis Antoniosen
CreatorΔεληγιαννακης Αντωνιοςel
CreatorGarofalakis Minosen
CreatorΓαροφαλακης Μινωςel
PublisherAssociation for Computing Machineryen
Content SummaryIn complex event processing (CEP), simple derived event tuples are combined in pattern matching procedures to derive complex events (CEs) of interest. Big Data applications analyze event streams online and extract CEs to support decision making procedures. At massive scale, such applications operate over distributed networks of sites where efficient CEP requires reducing communication as much as possible. Besides, events often encompass various types of uncertainty. Therefore, massively distributed Big event Data applications in a world of uncertain events call for communication-efficient, uncertainty-aware CEP solutions, which is the focus of this work. As a proof-of-concept for the applicability of our techniques, we show how we bridge the gap between two recent CEP prototypes which use the same CEP engine and each extend it towards only one of the dimensions of distribution and uncertainty.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2020-05-28-
Date of Publication2019-
SubjectComplex event processingen
SubjectDistributed Streamsen
SubjectUncertaintyen
Bibliographic CitationN. Giatrakos, A. Artikis, A. Deligiannakis and M. Garofalakis, "Uncertainty-aware event analytics over distributed settings," in 13th ACM International Conference on Distributed and Event-Based Systems, 2019, pp. 175-186. doi: 10.1145/3328905.3329763en

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