Cloud computing versus in-house clusters: a comparative study

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dc.contributor.authorOmran Malik Orner Awad
dc.contributor.authorAbdelmonim Mohamed Ali Artoli
dc.contributor.authorAwad Hag Ali Ahmed
dc.date.accessioned2022-12-11T08:12:50Z
dc.date.available2022-12-11T08:12:50Z
dc.date.issued2014
dc.description.abstractMulti-core cloud clusters are best suited environment for academic institutions in the third world countries to gain supercomputing power and enable researchers to inquest new trends in scientific computing with affordable cost and less administrative load. This work aims to analyze the parallelism efficiency of a parallel computational fluid mechanics solver (the lattice Boltzmann method (LBM» on multi-core cloud clusters. This paper demonstrates reliability and cost effectiveness of using tailormade hired cloud clusters as compared to in-house high performance computing architecture. On these clusters we have found that the lattice Boltzmann implementation on a Cartesian grid is fully adaptive, highly flexible and cost effective to use for solving complex large fluid mechanical systems, such as flooding in real-time at a very low cost on leased cluster than in-house ones
dc.identifier.citationAwad, O.M.O., Artoli, A.M.A. and Ahmed, A.H.A., 2014, January. Cloud computing versus in-house clusters: a comparative study. In 2014 World Congress on Computer Applications and Information Systems (WCCAIS) (pp. 1-6). IEEE.
dc.identifier.isbn9781479933518
dc.identifier.urihttp://dspace.napata.edu.sd/handle/123456789/128
dc.language.isoen
dc.titleCloud computing versus in-house clusters: a comparative study
dc.typeArticle
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