Incremental Model Synchronization for Efficient Run-Time Monitoring
| Autor: | Holger Giese, Stefan Neumann, Thomas Vogel, Stephan Hildebrandt, Basil Becker |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: |
Computer science
business.industry Special solution Distributed computing Model transformation Development (topology) Synchronization (computer science) Incremental build model Software engineering business computer Source model Triple graph grammars Object Constraint Language computer.programming_language |
| Zdroj: | Models in Software Engineering ISBN: 9783642122606 MoDELS Workshops |
| Popis: | The model-driven engineering community has developed expressive model transformation techniques based on meta models, which ease the specification of translations between different model types. Thus, it is attractive to also apply these techniques for autonomic and self- adaptive systems at run-time to enable a comprehensive monitoring of their architectures while reducing development efforts. This requires spe- cial solutions for model transformation techniques as they are applied at run-time instead of their traditional usage at development time. In this paper we present an approach to ease the development of architectural monitoring based on the incremental model synchronization with triple graph grammars. We show that the provided incremental synchronization between a running system and models for different self-management capabilities provides a significantly better compromise between performance and development costs than manually developed solutions. In: International Workshop on Models@run.time. Vol. 509. CEUR Workshop Proceedings. CEUR-WS.org, 2009, pp. 1-10. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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