Memory Optimization of a Distributed Middleware for Smart Grid Applications

Stephan Cejka, Albin Frischenschlager, Mario Faschang, Mark Stefan

2017

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.

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