Last update:
Apr 1, 2000
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Harnessing the Capacity of Computational Grids for High Energy Physics
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Jim Basney1,
Miron Livny1,
Paolo Mazzanti2
- University of Wisconsin-Madison
- INFN and University of Bologna
Speaker:
Miron Livny
By harnessing available computing resources on the network,
computational grids can deliver large amounts of computing capacity to
the high energy physics (HEP) community. Supporting HEP applications,
which typically make heavy memory and I/O demands, requires careful
co-allocation of network, storage, and computing resources. The grid
manager must ensure that applications have the necessary resources to
run efficiently while respecting the usage policies imposed by the
owners of those resources.
The Condor research group is engaged in an effort to develop effective
co-allocation mechanisms for computational grids. We present two of
these mechanisms, ClassAd Matchmaking and Checkpoint Domains, and how
we have applied them to serve HEP applications in the INFN Condor grid
and elsewhere. ClassAd Matchmaking provides an infrastructure for
flexible resource co-allocation, and Checkpoint Domains provide
local-area support for application data storage. We also present
recently developed network allocation mechanisms and how they can be
used to manage the typically heavy network demands of HEP
applications.
Presentation:  | Short Paper:  |
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