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Digital Library

of the European Council for Modelling and Simulation

 

Title:

A Data Management Framework Providing Online-Connectivity In Symbiotic Simulation

Authors:

Sebastian Bohlmann, Matthias Becker, Helena Szczerbicka,

Volkhard Klinger

Published in:

 

(2010).ECMS 2010 Proceedings edited by A Bargiela S A Ali D Crowley E J H Kerckhoffs. European Council for Modeling and Simulation. doi:10.7148/2010 

 

ISBN: 978-0-9564944-1-2

 

24th European Conference on Modelling and Simulation,

Simulation Meets Global Challenges

Kuala Lumpur, June 1-4 2010

 

Citation format:

Bohlmann, S., Becker, M., Szczerbicka, H., & Klinger, V. (2010). A Data Management Framework Providing Online-Connectivity In Symbiotic Simulation. ECMS 2010 Proceedings edited by A Bargiela S A Ali D Crowley E J H Kerckhoffs (pp. 302-308). European Council for Modeling and Simulation. doi:10.7148/2010-0302-0308

DOI:

http://dx.doi.org/10.7148/2010-0302-0308

Abstract:

Symbiotic simulation in industrial applications requires efficient connectivity between industrial processes and embedded legacy simulators. One main challenge is to handle heterogeneous system parameters like band- width, latency, redundancy, security and data representa- tion. Moreover, data management needs to be improved in terms of unified access providing an interface to on- line, historical and corresponding simulation data.

This paper proposes a framework for symbiotic simu- lation addressing the problem of connectivity. We intro- duce the Process Data Streaming Protocol (PDSP) man- aging distributed process data flows. Additionally we present PDSP based modules covering different modes of operation for data processing. The Framework inter- acts with distributed control systems via object linking and embedding for process control as well as to embed- ded systems using different hierarchic operation modes. Historical data can be provided transparently through an integrated stream-database. The framework is primarily optimized to be used in JAVA-based simulation environ- ments, but is not limited to these. Finally we demonstrate the usability of the system while interacting with a simu- lation environment for a hybrid process and present some experimental results.

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