Djemame, K orcid.org/0000-0001-5811-5263, Armstrong, D, Guitart, J et al. (1 more author) (2016) A Risk Assessment Framework for Cloud Computing. IEEE Transactions on Cloud Computing, 4 (3). pp. 265-278. ISSN 2168-7161
Abstract
Cloud service providers offer access to their resources 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. This paper focuses on a specific aspect of risk assessment as applied in cloud computing: methods within a framework that can be used by cloud service providers and service consumers to assess risk during service deployment and operation. It describes the various stages in the service lifecycle whereas risk assessment takes place, and the corresponding risk models that have been designed and implemented. The impact of risk on architectural components, with special emphasis on holistic management support at service operation, is also described. The risk assessor is shown to be effective through the experimental evaluation of the implementation, and is already integrated in a cloud computing toolkit.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014 IEEE. This is an author produced version of a paper published in IEEE Transactions on Cloud Computing. 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. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Cloud computing, risk assessment, risk modelling, holistic management; Risk management, IP networks, Cloud computing, Security, Computational modeling, Quality of service |
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) |
Funding Information: | Funder Grant number EU - European Union 257115 |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 May 2016 14:45 |
Last Modified: | 16 Jan 2018 10:14 |
Published Version: | http://dx.doi.org/10.1109/TCC.2014.2344653 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Identification Number: | 10.1109/TCC.2014.2344653 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:95981 |