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.
Complete list of metadatas

Cited literature [10 references]  Display  Hide  Download

https://hal.inria.fr/hal-01434794
Contributor : Hal Ifip <>
Submitted on : Friday, January 13, 2017 - 2:02:32 PM
Last modification on : Friday, January 13, 2017 - 2:05:49 PM
Long-term archiving on : Friday, April 14, 2017 - 8:37:12 PM

File

416479_1_En_15_Chapter.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

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⟩

Share

Metrics

Record views

68

Files downloads

121