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Last update: Apr 1, 2000

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Harnessing the Capacity of Computational Grids for High Energy Physics

Jim Basney1, Miron Livny1, Paolo Mazzanti2
  1. University of Wisconsin-Madison
  2. 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:  PowerPoint Short Paper:  Adobe Acrobat pdf 

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