(English) Property-based Routing in Clustered Message Brokers for CPS

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Ole Meyer, Julius Ollesch, Stefan Gries, Florian Wessling, Volker Gruhn: Property-based Routing in Clustered Message Brokers for CPS. In: Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems, S. 366–369, ACM, Barcelona, Spain, 2017, ISBN: 978-1-4503-5065-5.

Abstract

Cyber-Physical Systems (CPS) are interconnected systems that can measure, manipulate, and adapt their environment via sensors and actors. The high number of measured data means that a reliable and scalable communication infrastructure is indispensable, especially if data is processed in real time. Data can be available in different measurement qualities, which usability depends on the particular application. As a result, data is regularly discarded, resulting in network inefficiencies when they are previously transmitted. This effect becomes more important as the number of heterogeneous sensors increases. In this paper, we discuss the implications and show our first approach to solve the problem based on MQTT [1], one of the most widely used public-subscribe protocols in the area of IoT and CPS.

BibTeX (Download)

@inproceedings{Meyer:2017:PRC:3093742.3096475,
title = {Property-based Routing in Clustered Message Brokers for CPS},
author = { Ole Meyer and Julius Ollesch and Stefan Gries and Florian Wessling and Volker Gruhn},
url = {http://doi.acm.org/10.1145/3093742.3096475},
doi = {10.1145/3093742.3096475},
isbn = {978-1-4503-5065-5},
year  = {2017},
date = {2017-06-19},
booktitle = {Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems},
pages = {366--369},
publisher = {ACM},
address = {Barcelona, Spain},
series = {DEBS '17},
abstract = {Cyber-Physical Systems (CPS) are interconnected systems that can measure, manipulate, and adapt their environment via sensors and actors. The high number of measured data means that a reliable and scalable communication infrastructure is indispensable, especially if data is processed in real time. Data can be available in different measurement qualities, which usability depends on the particular application. As a result, data is regularly discarded, resulting in network inefficiencies when they are previously transmitted. This effect becomes more important as the number of heterogeneous sensors increases. In this paper, we discuss the implications and show our first approach to solve the problem based on MQTT [1], one of the most widely used public-subscribe protocols in the area of IoT and CPS.},
keywords = {clustering, CPS, Cyber-Physical Systems, efficiency, Internet of Things, MQTT, publish-subscribe, routing, simulation, world-scale},
pubstate = {published},
tppubtype = {inproceedings}
}