Cloud Computing

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http://dspace.napata.edu.sd/handle/123456789/127

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Browsing Cloud Computing by Author "Awad Hag Ali Ahmed"

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    Cloud computing versus in-house clusters: a comparative study
    (2014) Omran Malik Orner Awad; Abdelmonim Mohamed Ali Artoli; Awad Hag Ali Ahmed
    Multi-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
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    Stochastic Simulation Efficiency of Parallel CFD Solver on Elastic Cloud Environment
    (Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd, 2014-03) Omran Malik Omer Awad; Awad Hag Ali Ahmed; Abdelmonem M. Ali Artoli
    Computational fluid dynamics applications become crucial for scientist to understand various Natural phenomenon. These applications require high performance computing resources that most small academic institutions cannot afford. Elastic cloud clusters are best suited environment for those small academic institutions to gain high performance computing power and enable researchers to explore new trends in scientific computing with reasonable cost. This work aims to study the parallelism efficiency; in term of communication time and execution time for a highly optimized parallel lattice Boltzmann solver on elastic cloud clusters. On these elastic clusters we have found that the lattice Boltzmann implementation is fully adaptive, highly flexible and cost effective to use for solving complex large fluid mechanical systems.