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

عنوان MOO: An architectural framework for runtime optimization of multiple system objectives in embedded control software
نویسنده Roo, A. de, Sözer, Hasan, Bergmans, L., Akşit, M.
تاریخ انتشار: 2013-10
محل انتشار - Elsevier
موضوع Architectural framework, Multi-objective optimization, Runtime adaptation, Embedded systems, Control software
نوع دوره ای
زبان انگلیسی
دیجیتال بله
نسخه خطی خیر
کتابخانه: دانشگاه اوزیغین
شناسه دارایی کتابخانه 1873-1228
شماره ثبت 9f407d3b-3293-4015-aa82-050e89d462e3
محل کتابخانه Computer Science
تاریخ 2013-10
یادداشت‌ها Due to copyright restrictions, the access to the full text of this article is only available via subscription.
متن نمونه 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
مشاهده در منبع دانشگاه اوزیغین دانشگاه اوزیغین - موتور جستجوی نسخه های خطی عثمانی
دانشگاه اوزیغین - موتور جستجوی نسخه های خطی عثمانی دانشگاه اوزیغین

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

نویسنده Roo, A. de, Sözer, Hasan, Bergmans, L., Akşit, M.
تاریخ انتشار 2013-10
محل انتشار - Elsevier
موضوع Architectural framework, Multi-objective optimization, Runtime adaptation, Embedded systems, Control software
نوع دوره ای
زبان انگلیسی
دیجیتال بله
نسخه خطی خیر
کتابخانه دانشگاه اوزیغین
شناسه دارایی کتابخانه 1873-1228
شماره ثبت 9f407d3b-3293-4015-aa82-050e89d462e3
محل کتابخانه Computer Science
تاریخ 2013-10
یادداشت‌ها Due to copyright restrictions, the access to the full text of this article is only available via subscription.
متن نمونه 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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