A Technical Report On Grid Benchmarking using SEE V.O
John Kouvakis, Fotis Georgatos

TL;DR
This paper discusses grid benchmarking using SEE V.O to evaluate heterogeneous grid resources, highlighting how diverse hardware and software impact performance through simple benchmarking measurements.
Contribution
It introduces a benchmarking approach that demonstrates the heterogeneity of grid resources and their effect on performance using SEE V.O.
Findings
Heterogeneous grid resources significantly affect execution times.
Benchmarking reveals performance differences across grid sites.
Simple benchmarks effectively demonstrate infrastructure diversity.
Abstract
Grids include heterogeneous resources, which are based on different hardware and software architectures or components. In correspondence with this diversity of the infrastructure, the execution time of any single job, as well as the total grid performance can both be affected substantially, which can be demonstrated by measurements. Running a simple benchmarking suite can show this heterogeneity and give us results about the differences over the grid sites.
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Taxonomy
TopicsDistributed and Parallel Computing Systems · Parallel Computing and Optimization Techniques · Cloud Computing and Resource Management
