Armstrong, D, Djemame, K, Nair, S et al. (2 more authors) (2011) Towards a contextualization solution for cloud platform services. In: Lambrinoudakis, C, Rizomiliotis, P and Wlodarczyk, TW, (eds.) Proceedings - 2011 3rd IEEE International Conference on Cloud Computing Technology and Science. Proceedings - 2011 3rd IEEE International Conference on Cloud Computing Technology and Science, CloudCom , 29 Nov - 01 Dec 2011, Athens, Greece. IEEE , 328 - 331. ISBN 9780769546223
Abstract
We propose a cloud contextualization mechanism which operates in two stages, contextualization of VM images prior to service deployment (PaaS level) and self-contextualization of VM instances created from the image (IaaS level). The contextualization tools are implemented as part of the OPTIMIS Toolkit, a set of software components for simplified management of cloud services and infrastructures. We present the architecture of our contextualization tools and the feasibility of our contextualization mechanism is demonstrated in a three-tier web application scenario. Preliminary performance results suggest acceptable performance and scalability of our prototype.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2011, IEEE. This is an author produced version of a paper published in Proceedings - 2011 3rd IEEE International Conference on Cloud Computing Technology and Science. Uploaded in accordance with the publisher's self-archiving policy. |
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: | 15 Jan 2015 11:24 |
Last Modified: | 19 Dec 2022 13:30 |
Published Version: | http://dx.doi.org/10.1109/CloudCom.2011.51 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/CloudCom.2011.51 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:82337 |