Evaluating recovery aware components for grid reliability

Yusuf, I, Schmidt, H and Peake, I 2009, 'Evaluating recovery aware components for grid reliability', in Hans van Vliet; Valérie Issarny (ed.) Proceedings of the Seventh European Software Engineering Conference and Seventeenth ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC-FSE), Amsterdam, The Netherlands, 24th-28th August 2009, pp. 277-280.


Document type: Conference Paper
Collection: Conference Papers

Title Evaluating recovery aware components for grid reliability
Author(s) Yusuf, I
Schmidt, H
Peake, I
Year 2009
Conference name The Seventh European Software Engineering Conference and Seventeenth ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC-FSE)
Conference location Amsterdam, The Netherlands
Conference dates 24th-28th August 2009
Proceedings title Proceedings of the Seventh European Software Engineering Conference and Seventeenth ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC-FSE)
Editor(s) Hans van Vliet; Valérie Issarny
Publisher ACM
Place of publication New York, United States
Start page 277
End page 280
Total pages 4
Abstract Failure in grids is costly and inevitable. Existing fault tolerance (FT) mechanisms are typically defensive and reactive, thus unnecessarily costly. In this paper we propose a hybrid FT approach, recovery aware component (RAC), combining reactive and proactive FT, with failure recovery or aversion of user-defined granularity, by component-orientation and architecture-level reasoning about FT, to increase reliability and availability without needless performance sacrifices. We model and analyse a parameterised RAC implementation combining prediction, proactive rejuvenation and reactive restarting to varying extents, calculating cost savings, reliability improvements and cost-benefit, under parameters such as prediction frequency and accuracy.
Subjects Software Engineering
Keyword(s) Reliability
Theory
Experimentation
DOI - identifier 10.1145/1595696.1595741
Copyright notice Copyright 2009 ACM
ISBN 9781605580012
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