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dc.contributor.authorMohammed, Bashir*
dc.contributor.authorKiran, Mariam*
dc.date.accessioned2016-09-21T15:41:15Z
dc.date.available2016-09-21T15:41:15Z
dc.date.issued2015
dc.identifier.citationMohammed B and Kiran M (2015) Analysis of cloud testbeds using opensource solutions. In: Proceedings of the 3rd International Conference on Future Internet of Things and Cloud (FiCloud 2015). 24-26 Aug 2015, Rome, Italy: 195-203.
dc.identifier.urihttp://hdl.handle.net/10454/9199
dc.description.abstractCloud computing is increasingly attracting large attention both in academic research and in industrial initiatives. However, despite the popularity, there is a lack of research on the suitability of software tools and parameters for creating and deploying Cloud test beds. Virtualization and how to set up virtual environments can be done through software tools, which are available as open source, but there still needs to be work in terms of which tools to use and how to monitor parameters with the suitability of hardware resources available. This paper discusses the concepts of virtualization, as a practical view point, presenting an in-depth critical analysis of open source cloud implementation tools such as CloudStack, Eucalyptus, Nimbus, OpenStack, OpenNebula, OpenIoT, to name a few. This paper analyzes the various toolkits, parameters of these tools, and their usability for researchers looking to deploy their own Cloud test beds. The paper also extends further in developing an experimental case study of using OpenStack to construct and deploy a test bed using current resources available in the labs at the University of Bradford. This paper contributes to the theme of software setups and open source issues for developing Cloud test bed for deploying and constructing private Cloud test bed.
dc.subjectCloud computing; Virtualisation; Computational modelling; Hardware; Open source software; Organisations; Xen cloud platform; OpenNebula; CloudStack; OpenStack; Eucalyptus; AbiCloud; Nimbus; OpenIoT
dc.titleAnalysis of cloud testbeds using opensource solutions
dc.typeConference Paper
dc.identifier.doihttps://doi.org/10.1109/FiCloud.2015.106


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