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Toward higher level abstractions for cloud computing Goscinski, Andrzej and Brock, Michael 2011, Toward higher level abstractions for cloud computing, International journal of cloud computing, vol. 1, no. 1, pp. 37-57. Title Toward higher level abstractions for cloud computing Author(s) Goscinski, Andrzej Brock, Michael Journal name International journal of cloud computing Volume number 1 Issue number 1 Start page 37 End page 57 Publisher Inderscience Publishers Place of publication Geneva, Switzerland Publication date 2011 ISSN 2043-9989 2043-9997 Keyword(s) cloud computing higher level abstractions resources via web services RVWS cluster as a service CaaS distributed computing web services stateful web services ease of use user interfaces Summary The general idea of cloud computing is offering computational resources as scalable, on demand services accessible over the internet. However, this new realisation of on demand computing is hindered by the amount of user involvement. Currently, high level abstractions in cloud computing only exist in the form of services. In particular, there is no effective means to publish, discover and finally use required services in clouds. In response, we propose a user level abstraction on top of already available cloud abstraction layers, present its concept using the resources via web services (RVWS) framework and demonstrate its feasibility by simplifying the exposure and use of clusters, a commonly used resource in cloud computing. Language eng Field of Research 080501 Distributed and Grid Systems Socio Economic Objective 890206 Internet Hosting Services (incl. Application Hosting Services) HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2011, Inderscience Enterprises Ltd. Persistent URL http://hdl.handle.net/10536/DRO/DU:30040544 Document type: Journal Article Collection: School of Information Technology Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 05 Dec 2011, 12:46:10 EST Fri, 09 Dec 2011, 10:09:05 EST Fri, 09 Dec 2011, 10:10:40 EST Filtered Full Access Statistics: 52 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Mon, 05 Dec 2011, 12:46:10 EST

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