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PAN – Distributed Real-Time Complex Event Detection in Multiple Data Streams

Probst, Lukas and Giangreco, Ivan and Schuldt, Heiko. (2016) PAN – Distributed Real-Time Complex Event Detection in Multiple Data Streams. In: Distributed Applications and Interoperable Systems. 16th IFIP WG 6. 1 International Conference, DAIS 2016. New York, NY, pp. 189-195.

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Official URL: http://edoc.unibas.ch/51981/

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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.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Datenbanken (Schuldt)
UniBasel Contributors:Schuldt, Heiko and Giangreco, Ivan and Probst, Lukas
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Publisher:Springer
ISBN:978-3-319-39576-0
Series Name:Lecture Notes in Computer Science
Issue Number:9687
Note:Publication type according to Uni Basel Research Database: Conference paper
Identification Number:
Last Modified:28 Nov 2017 11:34
Deposited On:28 Nov 2017 11:34

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