Alsoghayer, R and Djemame, K (2014) Resource failures risk assessment modelling in distributed environments. Journal of Systems and Software, 88. 42 - 53. ISSN 0164-1212
Abstract
Service providers offer access to resources and services in distributed environments such as Grids and Clouds through formal Service level Agreements (SLA), and need well-balanced infrastructures so that they can maximise the Quality of Service (QoS) they offer and minimise the number of SLA violations. We propose a mathematical model to predict the risk of failure of resources in such environments using a discrete-time analytical model driven by reliability functions fitted to observed data. The model relies on the resource historical data so as to predict the risk of failure for a given time interval. The model is evaluated by comparing the predicted risk of failure with the observed risk of failure, and is shown to accurately predict the resources risk of failure, allowing a service provider to selectively choose which SLA request to accept.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2014, Elsevier. Uploaded in accordance with the publisher's self-archiving policy. NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Systems and Software. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Systems and Software, 88, (2014) DOI 10.1016/j.jss.2013.09.017 |
Keywords: | Grid computing; Cloud computing; Risk assessment; Quality of Service; Resource failure; Markov Chains |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Institute for Computational and Systems Science (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 Aug 2014 13:11 |
Last Modified: | 17 Jan 2018 03:20 |
Published Version: | http://dx.doi.org/10.1016/j.jss.2013.09.017 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.jss.2013.09.017 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:79909 |