Performance evaluation of MapReduce using full virtualisation on a departmental cloud

• Autorzy: Horacio González-Vélez , Maryam Kontagora
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

MapReduce; server virtualization; cloud computing; algorithmic skeletons; structured parallelism; parallel computing

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2011
• Tom: 21
• Numer: 2
• Strony: 275-284

Daty

wydano

2011

otrzymano

2010-06-28

poprawiono

2010-11-16

poprawiono

2011-01-02

Twórcy

autor

Horacio González-Vélez

• School of Computing, Robert Gordon University, St Andrew Street, Aberdeen AB25 1HG, UK
• IDEAS Research Institute, Robert Gordon University, St Andrew Street, Aberdeen AB25 1HG, UK

autor

Maryam Kontagora

• School of Computing, Robert Gordon University, St Andrew Street, Aberdeen AB25 1HG, UK

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Identyfikatory

DOI

10.2478/v10006-011-0020-3