Title: Profiling e-Science infrastructures with kernel and application benchmarks

Authors: Andrea Clematis; Daniele D'Agostino; Antonella Galizia; Alfonso Quarati

Addresses: Institute of Applied Mathematics and Information Technologies, National Research Council, Genova, Italy ' Institute of Applied Mathematics and Information Technologies, National Research Council, Genova, Italy ' Institute of Applied Mathematics and Information Technologies, National Research Council, Genova, Italy ' Institute of Applied Mathematics and Information Technologies, National Research Council, Genova, Italy

Abstract: Resources benchmarking is a promising though challenging opportunity for research communities to better exploit e-Science infrastructures. The paper investigates the suitability of an integrated two-level benchmarking approach in supporting resources ranking on a performance basis. The coupling of different benchmarking techniques (i.e. kernel and application benchmarks) is intended to grasp the behaviour of computational environments also with respect to real workloads so as to address a more suitable and efficient assignment of resources to the applications submitted by users. To confirm the appropriateness of our approach, an experimentation on a test bed was carried out which highlighted significant differences amongst the performance figures of the two levels of benchmarks. Some useful rules of thumb emerged from our experimentation that could be taken into account to fruitfully adopt this double-space approach to similar scenarios of use.

Keywords: benchmarking resources; performance prediction; matchmaking; e-science infrastructures; resource ranking.

DOI: 10.1504/IJGUC.2014.060204

International Journal of Grid and Utility Computing, 2014 Vol.5 No.2, pp.123 - 134

Received: 05 Sep 2012
Accepted: 10 Jul 2013
Published online: 29 Oct 2014 *

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