Flexible storage services for parallel data mining

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Description

The demands of mining and analyzing vast amounts of data often lead scientists to supercomputer centers, with their high-performance parallel processors and large-scale hierarchical storage. Once there, however, clients quickly come face to face with a number of harsh realities. Common constraints are: (1) disk space, while impressive in aggregate on machines with more than 100 nodes, generally amounts to only a couple of gigabytes per node; (2) local disk space is scratch space every query starts and ends with no data on compute nodes` local disks; (3) mass storage is generally a (widely) shared resource, and is not user- ... continued below

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8 p.

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Malon, D.M. & May, E.N. December 31, 1996.

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Description

The demands of mining and analyzing vast amounts of data often lead scientists to supercomputer centers, with their high-performance parallel processors and large-scale hierarchical storage. Once there, however, clients quickly come face to face with a number of harsh realities. Common constraints are: (1) disk space, while impressive in aggregate on machines with more than 100 nodes, generally amounts to only a couple of gigabytes per node; (2) local disk space is scratch space every query starts and ends with no data on compute nodes` local disks; (3) mass storage is generally a (widely) shared resource, and is not user- configurable; (4) machine use is scheduled- no daemon processes may be left running; (5) while some nodes may be ``closer`` than others (e.g., HIPPI-connected) to mass storage, current schedulers tend nonetheless to allow users to specify only the number of nodes desired, not their I/O topology; (6) mass storage access from multiple nodes may in fact be routed through a single node (e.g., a distinguished I/O node per rack).

Physical Description

8 p.

Notes

OSTI as DE97003872

Source

  • 4. international conference on parallel and distributed information systems, Miami Beach, FL (United States), 18-20 Dec 1996

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  • Other: DE97003872
  • Report No.: ANL-HEP-CP--96-40
  • Report No.: CONF-961209--1
  • Grant Number: W-31109-ENG-38
  • Office of Scientific & Technical Information Report Number: 465727
  • Archival Resource Key: ark:/67531/metadc676217

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • December 31, 1996

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  • July 25, 2015, 2:21 a.m.

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  • Dec. 14, 2015, 6:24 p.m.

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Malon, D.M. & May, E.N. Flexible storage services for parallel data mining, article, December 31, 1996; Illinois. (digital.library.unt.edu/ark:/67531/metadc676217/: accessed December 10, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.