DataWarp: Building Applications which Make Progress in an Inconsistent World
DataWarp: Building Applications which Make Progress in an Inconsistent World
The usual approach to dealing with imperfections in data is to attempt to eliminate them. However, the nature of modern systems means this is often futile. This paper describes an approach which permits applications to operate notwithstanding inconsistent data. Instead of attempting to extract a single, correct view of the world from its data, a DataWarp application constructs a collection of interpretations. It adopts one of these and continues work. Since it acts on assumptions, the DataWarp application considers its recent work to be provisional, expecting eventually most of these actions will become definitive. Should the application decide to adopt an alternative data view, it may then need to void provisional actions before resuming work. We describe the DataWarp architecture, discuss its implementation and describe an experiment in which a DataWarp application in an environment containing inconsistent data achieves better results than its conventional counterpart.
3-540-20529-2
167-178
Henderson, Peter
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Walters, Robert John
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Crouch, Stephen
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Ni, Qinglai
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Stefani, Jean-Bernard
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Demeure, Isabelle
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Hagimont, Daniel
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2003
Henderson, Peter
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Walters, Robert John
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Crouch, Stephen
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Ni, Qinglai
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Stefani, Jean-Bernard
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Demeure, Isabelle
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Hagimont, Daniel
960e9baa-c45f-430b-ac26-fc7ece211d1a
Henderson, Peter, Walters, Robert John, Crouch, Stephen and Ni, Qinglai
(2003)
DataWarp: Building Applications which Make Progress in an Inconsistent World.
Stefani, Jean-Bernard, Demeure, Isabelle and Hagimont, Daniel
(eds.)
4th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems, Paris.
17 - 21 Nov 2003.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
The usual approach to dealing with imperfections in data is to attempt to eliminate them. However, the nature of modern systems means this is often futile. This paper describes an approach which permits applications to operate notwithstanding inconsistent data. Instead of attempting to extract a single, correct view of the world from its data, a DataWarp application constructs a collection of interpretations. It adopts one of these and continues work. Since it acts on assumptions, the DataWarp application considers its recent work to be provisional, expecting eventually most of these actions will become definitive. Should the application decide to adopt an alternative data view, it may then need to void provisional actions before resuming work. We describe the DataWarp architecture, discuss its implementation and describe an experiment in which a DataWarp application in an environment containing inconsistent data achieves better results than its conventional counterpart.
Text
Datawarp_Paper-048.pdf
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More information
Published date: 2003
Additional Information:
Event Dates: 17-21 November 2003
Venue - Dates:
4th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems, Paris, 2003-11-17 - 2003-11-21
Organisations:
Web & Internet Science, Electronic & Software Systems
Identifiers
Local EPrints ID: 258717
URI: http://eprints.soton.ac.uk/id/eprint/258717
ISBN: 3-540-20529-2
PURE UUID: 4dc0cf11-114c-40ad-8a56-6d3d8a190df3
Catalogue record
Date deposited: 08 Jan 2004
Last modified: 15 Mar 2024 03:09
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Contributors
Author:
Peter Henderson
Author:
Robert John Walters
Author:
Stephen Crouch
Author:
Qinglai Ni
Editor:
Jean-Bernard Stefani
Editor:
Isabelle Demeure
Editor:
Daniel Hagimont
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