REMES tool-chain: a set of integrated tools for behavioral modeling and analysis of embedded systems
Proceedings of the IEEE/ACM international conference on Automated software engineering
Modeling and reasoning about service behaviors and their compositions
ISoLA'10 Proceedings of the 4th international conference on Leveraging applications of formal methods, verification, and validation - Volume Part II
Towards verified synthesis of ProCom, a component model for real-time embedded systems
Proceedings of the 14th international ACM Sigsoft symposium on Component based software engineering
Service based communication for MPSoC platform-SegBus
Microprocessors & Microsystems
Towards modular resource-aware applications
Proceedings of the 3rd international workshop on Variability & Composition
Checking correctness of services modeled as priced timed automata
ISoLA'12 Proceedings of the 5th international conference on Leveraging Applications of Formal Methods, Verification and Validation: applications and case studies - Volume Part II
Managing resource contention in embedded service-oriented systems with dynamic orchestration
ICSOC'12 Proceedings of the 10th international conference on Service-Oriented Computing
| Hi-index | 0.00 |
In this paper, we introduce the model REMES for formalmodeling and analysis of embedded resources such as storage,energy, communication, and computation. The modelis a state-machine based behavioral language with supportfor hierarchical modeling, resource annotations, continuoustime, and notions of explicit entry and exit points thatmake it suitable for component-based modeling of embeddedsystems.The analysis of REMES-based systems is centeredaround a weighted sum in which the variables representthe amounts of consumed resources. We describe a numberof important resource related analysis problems, includingfeasibility, trade-off, and optimal resource-utilization analysis.To formalize these problems and provide a basis forrigorous analysis, we show how to analyze REMES modelsusing the framework of priced timed automata and weightedCTL. To illustrate the approach, we describe a case study inwhich it has been applied to model and analyze resourceusageof a temperature control system.