MOO: An architectural framework for runtime optimization of multiple system objectives in embedded control software

Name: MOO: An architectural framework for runtime optimization of multiple system objectives in embedded control software
Author: Roo, A. de, Sözer, Hasan, Bergmans, L., Akşit, M.

İsim	MOO: An architectural framework for runtime optimization of multiple system objectives in embedded control software
Yazar	Roo, A. de, Sözer, Hasan, Bergmans, L., Akşit, M.
Basım Tarihi:	2013-10
Basım Yeri	- Elsevier
Konu	Architectural framework, Multi-objective optimization, Runtime adaptation, Embedded systems, Control software
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1873-1228
Kayıt Numarası	9f407d3b-3293-4015-aa82-050e89d462e3
Lokasyon	Computer Science
Tarih	2013-10
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	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

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MOO: An architectural framework for runtime optimization of multiple system objectives in embedded control software

Yazar Roo, A. de, Sözer, Hasan, Bergmans, L., Akşit, M.

Basım Tarihi 2013-10

Basım Yeri - Elsevier

Konu Architectural framework, Multi-objective optimization, Runtime adaptation, Embedded systems, Control software

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1873-1228

Kayıt Numarası 9f407d3b-3293-4015-aa82-050e89d462e3

Lokasyon Computer Science

Tarih 2013-10

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin 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