Institutional Repository
Technical University of Crete
Technical University of Crete
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EL
| URI | http://purl.tuc.gr/dl/dias/94B9FB5F-7B61-4668-A513-49127A7A4A14 | - |
| Identifier | https://ceur-ws.org/Vol-2929/paper2.pdf | - |
| Language | en | - |
| Extent | 7 pages | en |
| Title | Extreme-scale interactive cross-platform streaming analytics - the INFORE approach | en |
| Creator | Deligiannakis Antonios | en |
| Creator | Δεληγιαννακης Αντωνιος | el |
| Creator | Giatrakos Nikolaos | en |
| Creator | Γιατρακος Νικολαος | el |
| Creator | Kotidis, Yannis | en |
| Creator | Samoladas Vasilis | en |
| Creator | Σαμολαδας Βασιλης | el |
| Creator | Simitsis Alkis | en |
| Publisher | CEUR Workshop Proceedings | en |
| Content Summary | Nowadays, 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 Item | Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Publication | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2023-07-14 | - |
| Date of Publication | 2021 | - |
| Subject | Added values | en |
| Subject | Cross-platform | en |
| Subject | Emerging applications | en |
| Subject | Extreme scale | en |
| Subject | Interactivity | en |
| Subject | Processing capability | en |
| Subject | Prototype system | en |
| Subject | Work-flows | en |
| Bibliographic Citation | A. 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.pdf | en |
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