Author
Roo, A. de, Sözer, Hasan, Bergmans, L., Akşit, M.
Publication Date
2013-10
Publication Place
-
Elsevier
Subject
Architectural framework, Multi-objective optimization, Runtime adaptation, Embedded systems, Control software
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
1873-1228
Record ID
9f407d3b-3293-4015-aa82-050e89d462e3
Library Location
Computer Science
Date
2013-10
Notes
Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text
Today's complex embedded systems function in varying operational conditions. The control software adapts several control variables to keep the operational state optimal with respect to multiple objectives. There exist well-known techniques for solving such optimization problems. However, current practice shows that the applied techniques, control variables, constraints and related design decisions are not documented as a part of the architecture description. Their implementation is implicit, tailored for specific characteristics of the embedded system, tightly integrated into and coupled with the control software, which hinders its reusability, analyzability and maintainability. This paper presents an architectural framework to design, document and realize multi-objective optimization in embedded control software. The framework comprises an architectural style together with its visual editor and domain-specific analysis tools, and a code generator. The code generator generates an optimizer module specific for the given architecture and it employs aspect-oriented software development techniques to seamlessly integrate this module into the control software. The effectiveness of the framework is validated in the context of an industrial case study from the printing systems domain.
DOI
10.1016/j.jss.2013.04.002
Cilt
86
