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A quality of service framework for adaptive and dependable large scale system-of-systems

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conference contribution
posted on 22.02.2013, 13:24 by Peter Bull, Alan Grigg, Lin GuanLin Guan, Iain PhillipsIain Phillips
There is growing recognition within industry that for system growth to be sustainable, the way in which existing assets are used must be improved. Future systems are being developed with a desire for dynamic behaviour and a requirement for dependability at mission critical and safety critical levels. These levels of criticality require predictable performance and as such have traditionally not been associated with adaptive systems. The software architecture proposed for such systems is based around a publish/subscribe model, an approach that, while adaptive, does not typically support critical levels of performance. There is, however, the scope for dependability within such architectures through the use of Quality of Service (QoS) methods. QoS is used in systems where the distribution of resources cannot be decided at design time. A QoS based framework is proposed for providing adaptive and dependable behaviour for future large-scale system-of-systems. Initial simulation results are presented to demonstrate the benefits of QoS.

History

School

  • Science

Department

  • Computer Science

Citation

BULL, P. ... et al., 2010. A quality of service framework for adaptive and dependable large scale system-of-systems. IN: Proceedings of the 5th International Conference on System of Systems Engineering (SoSE), Loughborough, UK, 22-24 June 2010, pp. 1-6.

Publisher

© IEEE

Version

AM (Accepted Manuscript)

Publication date

2010

Notes

This is a conference paper, the definitive version is available at: http://ieeexplore.ieee.org/ [© IEEE]. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

ISBN

978-1-4244-8197-2

Language

en