PAN – Distributed Real-Time Complex Event Detection in Multiple Data Streams - Distributed Applications and Interoperable Systems (DAIS 2016)
Conference Papers Year : 2016

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

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.

Domains

Computer Science [cs] Networking and Internet Architecture [cs.NI]
Fichier principal
Vignette du fichier
416479_1_En_15_Chapter.pdf (241.14 Ko) Télécharger le fichier
Origin Files produced by the author(s)

Hal Ifip  : Connect in order to contact the contributor

https://inria.hal.science/hal-01434794

Submitted on : Friday, January 13, 2017-2:02:32 PM

Last modification on : Friday, March 22, 2024-4:00:04 PM

Long-term archiving on : Friday, April 14, 2017-8:37:12 PM

Download

Dates and versions

hal-01434794 , version 1 (13-01-2017)

Licence

Attribution

Identifiers

Cite

Lukas Probst, Ivan Giangreco, Heiko Schuldt. PAN – Distributed Real-Time Complex Event Detection in Multiple Data Streams. 16th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems (DAIS), Jun 2016, Heraklion, Crete, Greece. pp.189-195, ⟨10.1007/978-3-319-39577-7_15⟩. ⟨hal-01434794⟩

Export

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

IFIP-LNCS IFIP IFIP-TC IFIP-WG IFIP-TC6 IFIP-WG6-1 IFIP-DAIS IFIP-LNCS-9687
89 View
89 Download

Altmetric

Share

More