Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
D. Le-Phuoc, M. Dao-Tran, A. Le Tuan, M. Nguyen Duc, M. Hauswirth:
"DEBS Grand Challenge: RDF Stream Processing with CQELS Framework for Real-time Analysis";
Vortrag: 9th International Conference on Distributed Event-Based Systems (DEBS 2015),
Oslo, Norway;
29.06.2015
- 03.07.2015; in: "DEBS Grand Challenge: RDF Stream Processing with CQELS Framework for Real-time Analysis",
(2015),
ISBN: 978-1-4503-3286-6;
S. 285
- 292.
Kurzfassung englisch:
This paper presents a solution to the Grand Challenge using CQELS (Continuous Query Evaluation over Linked Stream), a general execution framework to build RDF Stream Processing engines to answer continuous analytical queries. It provides an efficient execution architecture whereby incremental computing algorithms can be implemented to boost the performance.
Our experimental results show strong effiects of the implemented approach as CQELS outperforms a base-line implementation which recomputes on every incoming input.
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1145/2675743.2772586
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.