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Model-driven management of complex systems

Brian Pickering (), Sylvain Robert (), Stéphane Ménoret () and Erhan Mengusoglu ()
Additional contact information
Brian Pickering: IBM UK Laboratories, Winchester
Sylvain Robert: LADIS (CEA, LIST) - Laboratoire d'analyse des données et d'intelligence des systèmes (CEA, LIST) - DM2I (CEA, LIST) - Département Métrologie Instrumentation & Information (CEA, LIST) - LIST (CEA) - Laboratoire d'Intégration des Systèmes et des Technologies - DRT (CEA) - Direction de Recherche Technologique (CEA) - CEA - Commissariat à l'énergie atomique et aux énergies alternatives - Université Paris-Saclay
Stéphane Ménoret: Thales Research and Technology [Palaiseau] - THALES [France]
Erhan Mengusoglu: IBM UK Laboratories, Winchester

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Abstract: This paper considers some specific issues relating to model-driven system management applied to complex systems. Examining dynamically coupled systems-of-systems on the one hand and highly distributed devices for service access on the other, we define a common meta-model of (semi-) automated management applicable in both domains. Taking monitoring by way of illustration, we then show how this meta-model is put into practice along two complementary aspects: management modelling and runtime event processing support.

Keywords: complex event processing; runtime modelling; system management (search for similar items in EconPapers)
Date: 2008-10-30
Note: View the original document on HAL open archive server: https://cea.hal.science/cea-05461563v1
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Published in 3rd International Workshop on Models@run.time, Oct 2008, Toulouse, France

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