Intensive Data Management in Parallel Systems: A Survey

  • Authors:
  • M. F. Khan;Ray Paul;Ishfaq Ahmed;Arif Ghafoor

  • Affiliations:
  • School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907;Office of the Under Secretary of Defense, Washington, DC 20301;The Hong Kong University of Science & Technology, Clear Water Bay, Kowloon, Hong Kong;School of Electrical Engineering, Purdue University, West Lafayette, IN 47907

  • Venue:
  • Distributed and Parallel Databases
  • Year:
  • 1999

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Abstract

In this paper we identify and discuss issues that arerelevant to the design and usage of databases handling massiveamounts of data in parallel environments. The issues that are tackledinclude the placement of the data in the memory, file systems,concurrent access to data, effects on query processing, and theimplications of specific machine architectures. Since not allparameters are tractable in rigorous analysis, results of performanceand bench-marking studies are highlighted for several systems.