|
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. |
Full
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