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A multi variable optimization approach for the design of integrated dependable real-time embedded systems

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A multi variable optimization approach for the design of integrated dependable real-time embedded systems. / Islam, S.; Suri, Neeraj.
Embedded and Ubiquitous Computing: International Conference, EUC 2007, Taipei, Taiwan, December 17-20, 2007. Proceedings. Vol. 4808 LNCS Springer, 2007. p. 517-530.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Harvard

Islam, S & Suri, N 2007, A multi variable optimization approach for the design of integrated dependable real-time embedded systems. in Embedded and Ubiquitous Computing: International Conference, EUC 2007, Taipei, Taiwan, December 17-20, 2007. Proceedings. vol. 4808 LNCS, Springer, pp. 517-530. https://doi.org/10.1007/978-3-540-77092-3

APA

Islam, S., & Suri, N. (2007). A multi variable optimization approach for the design of integrated dependable real-time embedded systems. In Embedded and Ubiquitous Computing: International Conference, EUC 2007, Taipei, Taiwan, December 17-20, 2007. Proceedings (Vol. 4808 LNCS, pp. 517-530). Springer. https://doi.org/10.1007/978-3-540-77092-3

Vancouver

Islam S, Suri N. A multi variable optimization approach for the design of integrated dependable real-time embedded systems. In Embedded and Ubiquitous Computing: International Conference, EUC 2007, Taipei, Taiwan, December 17-20, 2007. Proceedings. Vol. 4808 LNCS. Springer. 2007. p. 517-530 doi: 10.1007/978-3-540-77092-3

Author

Islam, S. ; Suri, Neeraj. / A multi variable optimization approach for the design of integrated dependable real-time embedded systems. Embedded and Ubiquitous Computing: International Conference, EUC 2007, Taipei, Taiwan, December 17-20, 2007. Proceedings. Vol. 4808 LNCS Springer, 2007. pp. 517-530

Bibtex

@inbook{0747b1239cfc49e4849a944d6b50966d,
title = "A multi variable optimization approach for the design of integrated dependable real-time embedded systems",
abstract = "Embedded systems increasingly encompass both dependability and responsiveness requirements. While sophisticated techniques exist, on a discrete basis, for both dependability/fault-tolerance (FT) and real-time (RT), the composite considerations for FT+RT are still evolving. Obviously the different objectives needed for FT and RT make composite optimization hard. In this paper, the proposed Multi Variable Optimization (MVO) process develops integrated FT+RT considerations. We introduce dependability as an initial optimization criteria by confining error propagation probability, i.e., limiting the interactions. Subsequently, quantification of interactions together with RT optimization by minimizing scheduling length is developed. A simulated annealing approach is utilized to find optimized solutions. We provide experimental results for our approach, showing significant design improvements over contemporary analytical initial feasibility solutions. {\textcopyright} IFIP International Federation for Information Processing 2007.",
keywords = "Fault tolerance, Optimization, Probability distributions, Real time systems, Requirements engineering, Composite optimization, Multi Variable Optimization (MVO), Embedded systems",
author = "S. Islam and Neeraj Suri",
year = "2007",
doi = "10.1007/978-3-540-77092-3",
language = "English",
isbn = "9783540770916 ",
volume = "4808 LNCS",
pages = "517--530",
booktitle = "Embedded and Ubiquitous Computing",
publisher = "Springer",

}

RIS

TY - CHAP

T1 - A multi variable optimization approach for the design of integrated dependable real-time embedded systems

AU - Islam, S.

AU - Suri, Neeraj

PY - 2007

Y1 - 2007

N2 - Embedded systems increasingly encompass both dependability and responsiveness requirements. While sophisticated techniques exist, on a discrete basis, for both dependability/fault-tolerance (FT) and real-time (RT), the composite considerations for FT+RT are still evolving. Obviously the different objectives needed for FT and RT make composite optimization hard. In this paper, the proposed Multi Variable Optimization (MVO) process develops integrated FT+RT considerations. We introduce dependability as an initial optimization criteria by confining error propagation probability, i.e., limiting the interactions. Subsequently, quantification of interactions together with RT optimization by minimizing scheduling length is developed. A simulated annealing approach is utilized to find optimized solutions. We provide experimental results for our approach, showing significant design improvements over contemporary analytical initial feasibility solutions. © IFIP International Federation for Information Processing 2007.

AB - Embedded systems increasingly encompass both dependability and responsiveness requirements. While sophisticated techniques exist, on a discrete basis, for both dependability/fault-tolerance (FT) and real-time (RT), the composite considerations for FT+RT are still evolving. Obviously the different objectives needed for FT and RT make composite optimization hard. In this paper, the proposed Multi Variable Optimization (MVO) process develops integrated FT+RT considerations. We introduce dependability as an initial optimization criteria by confining error propagation probability, i.e., limiting the interactions. Subsequently, quantification of interactions together with RT optimization by minimizing scheduling length is developed. A simulated annealing approach is utilized to find optimized solutions. We provide experimental results for our approach, showing significant design improvements over contemporary analytical initial feasibility solutions. © IFIP International Federation for Information Processing 2007.

KW - Fault tolerance

KW - Optimization

KW - Probability distributions

KW - Real time systems

KW - Requirements engineering

KW - Composite optimization

KW - Multi Variable Optimization (MVO)

KW - Embedded systems

U2 - 10.1007/978-3-540-77092-3

DO - 10.1007/978-3-540-77092-3

M3 - Chapter

SN - 9783540770916

VL - 4808 LNCS

SP - 517

EP - 530

BT - Embedded and Ubiquitous Computing

PB - Springer

ER -