Treffer: Constraints derivation and propagation for large-scale embedded systems exploration

Title:
Constraints derivation and propagation for large-scale embedded systems exploration
Source:
Computer systems : architectures, modeling, and simulation (Samos, 21-23 July 2003 & 19-21 July 2004)Lecture notes in computer science. :550-559
Publisher Information:
Berlin: Springer, 2004.
Publication Year:
2004
Physical Description:
print, 10 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Leiden Institute for Advanced Computer Science, Niels Bohrweg 1, 2333 CA Leiden, Netherlands
ISSN:
0302-9743
Rights:
Copyright 2004 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems

Electronics
Accession Number:
edscal.16075776
Database:
PASCAL Archive

Weitere Informationen

The translation of user requirements to system constraints and parameters during an exploration exercise is a hard problem, especially in the context of large scale embedded systems. This process is almost never simple and straightforward, and it often requires multidisciplinary skills. The user requirements are not fixed during the exploration stage. Furthermore, the system constraints may vary according to the design choices made in the course of the exploration and development process. In this context, a need for hot-linking the constraints of the architecture to the top-level requirements of the application becomes apparent. We consider the system model as separate hierarchies of application and architecture components, coupled by a mapping layer. We aim towards an automatic derivation of these constraints downwards to all the levels of the hierarchy. Furthermore, we employ a procedure of validation and adjustment of these constraints in the lowest levels, to eliminate possible inconsistencies.