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Extreme-scale interactive cross-platform streaming analytics - the INFORE approach

Deligiannakis Antonios, Giatrakos Nikolaos, Kotidis, Yannis, Samoladas Vasilis, Simitsis Alkis

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URIhttp://purl.tuc.gr/dl/dias/94B9FB5F-7B61-4668-A513-49127A7A4A14-
Identifierhttps://ceur-ws.org/Vol-2929/paper2.pdf-
Languageen-
Extent7 pagesen
TitleExtreme-scale interactive cross-platform streaming analytics - the INFORE approachen
CreatorDeligiannakis Antoniosen
CreatorΔεληγιαννακης Αντωνιοςel
CreatorGiatrakos Nikolaosen
CreatorΓιατρακος Νικολαοςel
CreatorKotidis, Yannisen
CreatorSamoladas Vasilisen
CreatorΣαμολαδας Βασιληςel
CreatorSimitsis Alkisen
PublisherCEUR Workshop Proceedingsen
Content SummaryNowadays, analytics are at the core of many emerging applications and can greatly benefit from the abundance of data and the progress in the processing capabilities of modern hardware. Still, new challenges arise with the extreme complexity of designing applications to exploit in full the potential of such offerings. In this work, we describe the main challenges in delivering advanced, cross-platform, streaming analytics at scale with the primary goal of interactivity. We present the architecture of a prototype system designed from scratch to tackle such challenges and we describe the internals of its components. Finally, we discuss key added-value synergies upon serving target analytics workflows in real-world applications and present a preliminary performance evaluation.en
Type of ItemΔημοσίευση σε Συνέδριοel
Type of ItemConference Publicationen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2023-07-14-
Date of Publication2021-
SubjectAdded valuesen
SubjectCross-platformen
SubjectEmerging applicationsen
SubjectExtreme scaleen
SubjectInteractivityen
SubjectProcessing capabilityen
SubjectPrototype systemen
SubjectWork-flowsen
Bibliographic CitationA. Deligiannakis, N. Giatrakos, Y. Kotidis, V. Samoladas, and A. Simitsis, “Extreme-scale interactive cross-platform streaming analytics - the INFORE approach,” in Proceedings of the 2nd Workshop on Search, Exploration, and Analysis in Heterogeneous Datastores (SEA-Data 2021), Copenhagen, Denmark, 2021, vol. 2929, pp. 7–13, 2021. https://ceur-ws.org/Vol-2929/paper2.pdfen

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