Abstract:
The use of model-driven engineering techniques for managing or self-managing software systems can yield to significant benefits as models can be used to provide a rich semantic base for monitoring, analyzing, planning and adapting software systems. Moreover, the administration of today's complex systems could be eased. This paper outlines the application of models at runtime for monitoring and adapting software systems. This includes a discussion of the causal relationship between those models and a running system, appropriate abstractions of runtime models, the maintenance of runtime models, and of emerged research challenges. The ideas are presented in the context of IT Service Management and of autonomic/self-adaptive software. Both have in common that runtime models reflecting a running system can be used for monitoring and adapting the system.
BibTeX file
title = { Models at Runtime for Monitoring and Adapting Software Systems },
year = { 2010 },
number = { 31 },
pages = { 16-1 - 16-10 },
abstract = { The use of model-driven engineering techniques for managing or self-managing software systems can yield to significant benefits as models can be used to provide a rich semantic base for monitoring, analyzing, planning and adapting software systems. Moreover, the administration of today's complex systems could be eased. This paper outlines the application of models at runtime for monitoring and adapting software systems. This includes a discussion of the causal relationship between those models and a running system, appropriate abstractions of runtime models, the maintenance of runtime models, and of emerged research challenges. The ideas are presented in the context of IT Service Management and of autonomic/self-adaptive software. Both have in common that runtime models reflecting a running system can be used for monitoring and adapting the system. },
month = { 4 },
institution = { Proceedings of the 4th Ph.D. Retreat of the HPI Research School on Service-oriented Systems Engineering, Hasso Plattner Institute, University of Potsdam (Fall 2009 Workshop) },
isbn = { 978-3-86956-036-6 },
issn = { 1613-5652 (print), 2191-1665 (online) }
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last change: Fri, 27 May 2011 11:21:32 +0200