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Authors: Stephan Cejka 1 ; Albin Frischenschlager 1 ; Mario Faschang 2 and Mark Stefan 2

Affiliations: 1 Siemens AG, Austria ; 2 AIT Austrian Institute of Technology GmbH, Austria

Keyword(s): IoT Application Management, Distributed Smart Grid Applications, Java Virtual Machine, Memory Optimization.

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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 - IoTBDS; ISBN 978-989-758-245-5; ISSN 2184-4976, SciTePress, pages 331-337. DOI: 10.5220/0006350403310337

@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 - IoTBDS},
year={2017},
pages={331-337},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006350403310337},
isbn={978-989-758-245-5},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - Memory Optimization of a Distributed Middleware for Smart Grid Applications
SN - 978-989-758-245-5
IS - 2184-4976
AU - Cejka, S.
AU - Frischenschlager, A.
AU - Faschang, M.
AU - Stefan, M.
PY - 2017
SP - 331
EP - 337
DO - 10.5220/0006350403310337
PB - SciTePress

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