Approximative Event Processing on Sensor Data Streams (Best Poster and Demostration Award)

Löffler C, Mutschler C, Philippsen M (2015)

Publication Language: English

Publication Type: Conference contribution, Original article

Publication year: 2015

Pages Range: 360-363

Conference Proceedings Title: Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems (DEBS'15)

Event location: Oslo NO

ISBN: 978-1-4503-3286-6

URI: http://www2.informatik.uni-erlangen.de/publication/download/DEBS2015.pdf

DOI: 10.1145/2675743.2776767

Abstract

Event-Based Systems (EBS) can efficiently analyze large streams of sensor data in near-realtime. But they struggle with noise or incompleteness that is seen in the unprecedented amount of data generated by the Internet of Things

We present a generic approach that deals with uncertain data in the middleware layer of distributed event-based systems and is hence transparent for developers. Our approach calculates alternative paths to improve the overall result of the data analysis. It dynamically generates, updates, and evaluates Bayesian Networks based on probability measures and rules defined by developers. An evaluation on position data shows that the improved detection rate justifies the computational overhead.

 

Authors with CRIS profile

Christoffer Löffler
Christopher Mutschler Lehrstuhl für Informatik 2 (Programmiersysteme) Michael Philippsen Lehrstuhl für Informatik 2 (Programmiersysteme)

Additional Organisation(s)

Machine Learning and Data Analytics Lab

Involved external institutions

Fraunhofer-Institut für Integrierte Schaltungen (IIS) DE Germany (DE)

How to cite

APA:

Löffler, C., Mutschler, C., & Philippsen, M. (2015). Approximative Event Processing on Sensor Data Streams (Best Poster and Demostration Award). In Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems (DEBS'15) (pp. 360-363). Oslo, NO.

MLA:

Löffler, Christoffer, Christopher Mutschler, and Michael Philippsen. "Approximative Event Processing on Sensor Data Streams (Best Poster and Demostration Award)." Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems (DEBS'15), Oslo 2015. 360-363.

BibTeX: Download