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On the persistence of computer dreams: an application framework for robust adaptive deployment

On the persistence of computer dreams: an application framework for robust adaptive deployment

Butler, Alun R., Ibrahim, Mohamed, Rennolls, Keith and Bacon, Liz (2004) On the persistence of computer dreams: an application framework for robust adaptive deployment. In: Proceedings: 15th International Workshop on Database and Expert Systems Applications. IEEE Computer Society, Los Alamitos, California, USA, pp. 716-720. ISBN 0769521959 ISSN 1529-4188 (doi:10.1109/DEXA.2004.1333559)

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Abstract

The anticipated rewards of adaptive approaches will only be fully realised when autonomic algorithms can take configuration and deployment decisions that match and exceed those of human engineers. Such decisions are typically characterised as being based on a foundation of experience and knowledge. In humans, these underpinnings are themselves founded on the ashes of failure, the exuberance of courage and (sometimes) the outrageousness of fortune. In this paper we describe an application framework that will allow the incorporation of similarly risky, error prone and downright dangerous software artefacts into live systems – without undermining the certainty of correctness at application level. We achieve this by introducing the notion of application dreaming.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings: 15th International Workshop on Database and Expert Systems Applications
Additional Information: [1] This paper was first presented at the 15th International Conference on Database and Expert Systems Applications (DEXA 2004), (DEXA’04), held from 30 August – 3 September 2004 in Zaragoza, Spain.
Uncontrolled Keywords: autonomic algorithms, application dreaming
Subjects: Q Science > QA Mathematics > QA76 Computer software
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Computer & Computational Science Research Group
School of Computing & Mathematical Sciences > Department of Computer Science
School of Computing & Mathematical Sciences > Statistics & Operational Research Group
School of Computing & Mathematical Sciences > eCentre
Related URLs:
Last Modified: 14 Oct 2016 09:02
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/851

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