Augernome & XtremWeb: Monte Carlos computation on a global computing platform
Oleg Lodygensky, Gilles Fedak, Vincent Neri, Alain Cordier, Franck, Cappello

TL;DR
This paper introduces XtremWeb, a global computing platform designed to efficiently run Monte Carlo simulations for high-energy cosmic ray research at the Auger experiment, leveraging idle interconnected machines.
Contribution
It presents the architecture and deployment of XtremWeb, a global computing platform tailored for distributed Monte Carlo computations in high-energy physics.
Findings
Successful deployment of XtremWeb for Auger Monte Carlo simulations
Enhanced computational capacity using idle networked machines
Proof of security and fault tolerance in distributed environment
Abstract
In this paper, we present XtremWeb, a Global Computing platform used to generate monte carlos showers in Auger, an HEP experiment to study the highest energy cosmic rays at Mallargue-Mendoza, Argentina. XtremWeb main goal, as a Global Computing platform, is to compute distributed applications using idle time of widely interconnected machines. It is especially dedicated to -but not limited to- multi-parameters applications such as monte carlos computations; its security mechanisms ensuring not only hosts integrity but also results certification and its fault tolerant features, encouraged us to test it and, finally, to deploy it as to support our CPU needs to simulate showers. We first introduce Auger computing needs and how Global Computing could help. We then detail XtremWeb architecture and goals. The fourth and last part presents the profits we have gained to choose this platform.…
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Taxonomy
TopicsOpportunistic and Delay-Tolerant Networks · Distributed and Parallel Computing Systems · Energy Efficiency in Computing
