González-Vélez, Horacio and Kontagora, Maryam (2011) Performance evaluation of MapReduce using full virtualisation on a departmental cloud. International Journal of Applied Mathematics and Computer Science, 21 (2). pp. 275-284. ISSN 1641-876XFull text not available from this repository.
This work analyses the performance of Hadoop, an implementation of the MapReduce programming model for distributed parallel computing, executing on a virtualisation environment comprised of 1+16 nodes running the VMWare workstation software. A set of experiments using the standard Hadoop benchmarks has been designed in order to determine whether or not significant reductions in the execution time of computations are experienced when using Hadoop on this virtualisation platform on a departmental cloud. Our findings indicate that a significant decrease in computing times is observed under these conditions. They also highlight how overheads and virtualisation in a distributed environment hinder the possibility of achieving the maximum (peak) performance.
|Subjects:||Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
|Divisions:||School of Computing > Staff Research and Publications|
|Depositing User:||CAOIMHE NI MHAICIN|
|Date Deposited:||28 Feb 2014 11:56|
|Last Modified:||11 Jun 2014 16:11|
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