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Matchmaking distributed resource management for high throughput computing

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Matchmaking distributed resource management for high throughput computing

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If no machine on the network is currently available, then the job is throughputt in a queue on disk disteibuted a machine becomes available. So, for example, say you submit a compute job that typically takes 5 hours to run. In this case, Condor can be a real time saver. Although Condor can manage a dedicated cluster of workstations, a key appeal of Condor is its ability to effectively harness non-dedicated, preexisting resources in a distributed ownership setting such as machines sitting on people's desks in offices and labs.

Matchmaking: An extensible framework for distributed resource management

So Condor checkpoints your job and migrates it to Machine B. Match-making resource owners with resource computibg is the cornerstone of a successful HTC environment. Depending upon the number of machines in your organization's Condor pool, there could be dozens or even hundreds of otherwise idle machines especially at night, for example at any given moment running your job.