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Technical glossary for the resource allocation competitions: Difference between revisions
Technical glossary for the resource allocation competitions (view source)
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'''dCache:''' dCache is a storage filesystem developed originally for high-energy physics projects for very large datasets (petabytes). dCache storage is essentially an object file storage layer on top of classical storage providing a single namespace and various authorized access and transfer protocols to the underlying immutable data. Allocations here tend to be for large | '''dCache:''' dCache is a storage filesystem developed originally for high-energy physics projects for very large datasets (petabytes). dCache storage is essentially an object file storage layer on top of classical storage providing a single namespace and various authorized access and transfer protocols to the underlying immutable data. Allocations here tend to be for large projects with many Principal Investigators and researchers. dCache capacity is allocated via the RAC process. If you wish to use this storage, contact the Subatomic Physics National Team by writing to our [[Technical support]]. | ||
Local storage: This refers to the hard drive or solid-state drive in a compute node that can be used to temporarily store programs, input files, or their results. Files in local storage on one node can not be accessed on any other node. The local storage may not be persistent, so the files created on the local storage should be moved to non-local storage to avoid data loss. | Local storage: This refers to the hard drive or solid-state drive in a compute node that can be used to temporarily store programs, input files, or their results. Files in local storage on one node can not be accessed on any other node. The local storage may not be persistent, so the files created on the local storage should be moved to non-local storage to avoid data loss. | ||
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'''Site:''' A member of one of | '''Site:''' A member of one of the Alliance's partners providing advanced research computing (ARC) resources (such as high-performance computing clusters, Clouds, storage, and/or technical support). | ||
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