Towards Modelling and Analysing Non-Functional Properties of Systems of Systems
June 9, 2014·
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0 min read
Vanea Chiprianov
Katrina E. Falkner
Laurent Gallon
Manuel Munier
Abstract
Systems of systems (SoS) are large-scale systems composed of complex systems with difficult to predict emergent properties. One of the most significant challenges in the engineering of such systems if how to predict their Non-Functional Properties (NFP) such as performance and security, and more specifically, how to model NFP when the overall system functionality is not available. In this paper, we identify, describe and analyse challenges to modelling and analysing the performance and security NFP of SoS. We define an architectural framework to SoS NFP prediction based on the modelling of system interactions and their impacts. We adopt an Event Driven Architecture to support this modelling, as it allows for more realistic and flexible NFP simulation, which enables more accurate NFP prediction. A framework integrating the analysis of several NFP allows for exploring the impacts of changes made to accommodate issues on one NFP on other NFPs.
Type
Publication
In IEEE 9th International System of Systems Engineering Conference (SoSE'2014)
Location
Stamford Grand, Adelaide, June 9-13, 2014
Authors
Associate Professor in Computer Science
Manuel Munier received his Ph.D. in Computer Science from University of Nancy in january 1999. His thesis works studied cooperative systems, advanced transaction models, distributed systems. Immediately after receiving his Ph.D., he worked as a postdoctoral researcher for INRIA Lorraine and Xerox Research Centre Europe in Grenoble.
In september 1999 he joined the University of Pau (IUT des Pays de l’Adour, département Réseaux & Télécommunications, site de Mont de Marsan). Manuel Munier is a member of ISI-Know team (Information Security and engIneering through knowledge management) of the LIUPPA (Laboratoire d’Informatique de l’Université de Pau et des Pays de l’Adour).