PAN – Distributed Real-Time Complex Event Detection in Multiple Data Streams - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2016

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

Lukas Probst
  • Function : Author
  • PersonId : 998194
Ivan Giangreco
  • Function : Author
  • PersonId : 998195
Heiko Schuldt
  • Function : Author
  • PersonId : 998196

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.
Fichier principal
Vignette du fichier
416479_1_En_15_Chapter.pdf (241.14 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

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⟩
69 View
66 Download

Altmetric

Share

Gmail Facebook X LinkedIn More