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

TL;DR
This paper discusses grid benchmarking using ATLAS V.O to measure heterogeneity in grid resources, highlighting how diverse hardware and software impact performance through simple benchmarking tests.
Contribution
It introduces a benchmarking approach to quantify heterogeneity across grid sites, aiding performance evaluation and resource management.
Findings
Heterogeneity significantly affects grid performance.
Benchmarking reveals performance differences across sites.
Simple tests can effectively measure resource 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
