Distributed Computing Concepts in D0
Daniel Wicke (Bergische Universitaet Wuppertal)
TL;DR
The paper discusses the implementation of distributed computing concepts in the D0 experiment to efficiently manage large datasets across multiple continents, with implications for the LHC Computing GRID.
Contribution
It introduces new distributed computing strategies in D0 that optimize resource use and reduce operational manpower, serving as a model for similar large-scale projects.
Findings
Successful deployment of distributed computing in D0
Enhanced resource utilization efficiency
Reduced operational personnel requirements
Abstract
The D0 experiment faces many challenges enabling access to large datasets for physicists on four continents. The new concepts for distributed large scale computing implemented in D0 aim for an optimal use of the available computing resources while minimising the person-power needed for operation. The real live test of these concepts is of special interest for the LHC Computing GRID, LCG, which follows a similar strategy.
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