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Designing a database cost model is one of the main research topics related to the physical design phase. It follows the evolution of database technology in order to evaluate and quantify the performance metrics (e.g., response time, energy consumption, etc.). Therefore, it makes the community researchers sensitive to the generated results. However, reusing and comparing database cost models require...
The development of database systems and applications requires the use of metrics to evaluate the quality and the efficiency of each phase, especially as regards the physical phase, where logical, physical and hardware optimizations are mainly used. Since the 1980s, a large range of cost models has been proposed. Each cost model is dedicated to the calculation of specific metrics and mainly pertains...
We are currently witnessing an explosion of advances in database technology, that cover all phases of database application design: non-functional requirements, conceptual modeling, logical modeling, deployment, physical design and exploitation. Researchers and engineers cooperate to integrate these advances in the database design. Their proposed solutions have to be confronted with similar studies...
We introduce an open meta-model that will be easily enriched to cover new real-time scheduling models and techniques. On the one hand, it will be possible to connect several independent schedulability analysis tools, following closely the advances in real-time scheduling theory, dealing with a temporal model that will be covered by our meta-model. On the other hand, we will use model transformation...
To fill the gap between the modeling of real-time systems and the scheduling analysis, we propose a framework that supports seamlessly the two aspects: (1) modeling a system using a methodology, in our case study, the Architecture Analysis and Design Language (AADL), and (2) helping to easily check temporal requirements (schedulability analysis, worst-case response time, sensitivity analysis, etc...
This paper stresses the difficulty for a system designer to use an appropriate real-time task model for his system, and to choose the associated scheduling analysis tests/dimensioning techniques. We propose a model-based approach tackling this difficulty. We focus on the schedulability analysis tree used by our method in order to help the designer to dimension, and then to validate his system.
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