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Title: A quality of service framework for adaptive and dependable large scale system-of-systems
Authors: Bull, Peter
Grigg, Alan
Guan, Lin
Phillips, Iain W.
Keywords: Adaptive systems
Network reliability
Quality of service
Issue Date: 2010
Publisher: © IEEE
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.
Abstract: 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.
Description: 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.
Version: Accepted for publication
DOI: 10.1109/SYSOSE.2010.5544115
URI: https://dspace.lboro.ac.uk/2134/11750
Publisher Link: http://dx.doi.org/10.1109/SYSOSE.2010.5544115
ISBN: 978-1-4244-8197-2
Appears in Collections:Conference Papers and Presentations (Computer Science)

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