Memory Optimization of a Distributed Middleware for Smart Grid Applications

Stephan Cejka, Albin Frischenschlager, Mario Faschang, Mark Stefan

Abstract

In order to exploit the full potential of IoT-enabled power distribution grids, Smart Grid applications are developed. Their operation on resource-constraint automation devices requires for memory optimized operation. In this paper we present field-approved operation and management solutions for Smart Grid applications, based on a distributed middleware. We introduce a new entity to allow for dynamically loading Smart Grid applications within one JVM. Presented experiments demonstrate the reduction of the memory footprint on the physical device.

References

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Paper Citation


in Harvard Style

Cejka S., Frischenschlager A., Faschang M. and Stefan M. (2017). Memory Optimization of a Distributed Middleware for Smart Grid Applications . In Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-245-5, pages 331-337. DOI: 10.5220/0006350403310337


in Bibtex Style

@conference{iotbds17,
author={Stephan Cejka and Albin Frischenschlager and Mario Faschang and Mark Stefan},
title={Memory Optimization of a Distributed Middleware for Smart Grid Applications},
booktitle={Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2017},
pages={331-337},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006350403310337},
isbn={978-989-758-245-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Memory Optimization of a Distributed Middleware for Smart Grid Applications
SN - 978-989-758-245-5
AU - Cejka S.
AU - Frischenschlager A.
AU - Faschang M.
AU - Stefan M.
PY - 2017
SP - 331
EP - 337
DO - 10.5220/0006350403310337