DocumentCode :
2570501
Title :
The DIESIS Approach to Semantically Interoperable Federated Critical Infrastructure Simulation
Author :
Usov, Andrij ; Beyel, Césaire ; Rome, Erich ; Beyer, Uwe ; Castorini, Elisa ; Palazzari, Paolo ; Tofani, Alberto
Author_Institution :
Schloss Birlinghoven, Fraunhofer IAIS, St. Augustin, Germany
fYear :
2010
fDate :
22-27 Aug. 2010
Firstpage :
121
Lastpage :
128
Abstract :
Critical infrastructures (CI) such as telecommunication or the power grids and their dependencies are getting increasingly complex. Understanding these - often indirect -dependencies is a vital precondition for the prevention of cross sector cascading failures of CI. Simulation is an important tool for CI dependency analysis, the test of methods for risk reduction, and as well for the evaluation of past failures. Moreover, interaction of such simulations with external threat models, e.g., a river flood model and economic models, may assist in what-if decision-making processes. The simulation of complex scenarios involving several different CI sectors requires the usage of heterogeneous federated simulations of CI. However, common standards for modelling and interoperability of such federated CI simulations are missing. In this paper, we present a novel approach for coupling CI simulations, developed and realised in the EU project DIESIS. The DIESIS core technologies for coupling CI simulations include a middleware that enables semantic interoperability of the federate simulators, a systematic, service-oriented approach to set up and run such federations, and, most importantly, a scenario-based architecture concept for modelling and federated simulation of CI. The architecture foresees a flexible pair-wise (lateral) coupling of simulators. DIESIS has implemented a demonstrator as a proof of concept for its approach and technologies, by coupling four different simulation systems (three interacting CIs and an external, common threat). In this paper, we focus on the architectural concept and the interoperability middleware that realises this concept and allows the coupling of heterogeneous simulation systems using various time and data models. We show how the ontology-based Knowledge Based System (KBS) is integrated and used in the overall system. Then, we discuss the basic technical concepts as well as the results obtained with the demonstrator. The proposed architectu- - re is open for further extensions. Ultimately, the proposed approach shall form the basis of a future standard coupling middleware for federated CI simulations.
Keywords :
critical infrastructures; knowledge based systems; middleware; ontologies (artificial intelligence); open systems; semantic Web; software architecture; CI dependency analysis; DIESIS approach; critical infrastructure; cross-sector cascading failures; external threat models; flexible pair-wise coupling; heterogeneous simulation systems; indirect dependencies; middleware; ontology-based knowledge based system; scenario-based architecture; semantic interoperability; service-oriented approach; Adaptation model; Analytical models; Biological system modeling; Computational modeling; Couplings; Data models; Middleware; Critical Infrastructure Protection (CIP); Distributed Simulation; EISAC; Federated Simulation; Modelling and Simulation for CIP;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in System Simulation (SIMUL), 2010 Second International Conference on
Conference_Location :
Nice
Print_ISBN :
978-1-4244-7783-8
Electronic_ISBN :
978-0-7695-4142-6
Type :
conf
DOI :
10.1109/SIMUL.2010.16
Filename :
5601888
Link To Document :
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