Cloud computing versus in-house clusters: a comparative study
Cloud computing versus in-house clusters: a comparative study
No Thumbnail Available
Date
2014
Authors
Omran Malik Orner Awad
Abdelmonim Mohamed Ali Artoli
Awad Hag Ali Ahmed
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
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
Description
Keywords
Citation
Awad, 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.