Abstract : In this paper, we present PAN, a generic middleware for distributed real-time complex event detection (CED) which is able to analyze multiple distributed data streams. In PAN, CED applications are defined as workflows and are executed by dedicated workers in a distributed way in a P2P network. In consequence, PAN is scalable in terms of the number of data streams and the complexity of the analyses. Evaluations based on an extended version of the ACM DEBS 2013 Grand Challenge scenario show the effectiveness and efficiency of PAN.
Type de document :
Communication dans un congrès
Márk Jelasity; Evangelia Kalyvianaki. 16th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems (DAIS), Jun 2016, Heraklion, Crete, Greece. Lecture Notes in Computer Science, LNCS-9687, pp.189-195, 2016, Distributed Applications and Interoperable Systems. 〈10.1007/978-3-319-39577-7_15〉
https://hal.inria.fr/hal-01434794
Contributeur : Hal Ifip
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Soumis le : vendredi 13 janvier 2017 - 14:02:32
Dernière modification le : vendredi 13 janvier 2017 - 14:05:49
Document(s) archivé(s) le : vendredi 14 avril 2017 - 20:37:12
Lukas Probst, Ivan Giangreco, Heiko Schuldt. PAN – Distributed Real-Time Complex Event Detection in Multiple Data Streams. Márk Jelasity; Evangelia Kalyvianaki. 16th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems (DAIS), Jun 2016, Heraklion, Crete, Greece. Lecture Notes in Computer Science, LNCS-9687, pp.189-195, 2016, Distributed Applications and Interoperable Systems. 〈10.1007/978-3-319-39577-7_15〉. 〈hal-01434794〉
