Sorting and selection on parallel disk models

  • Authors:
  • Sanguthevar Rajasekaran

  • Affiliations:
  • Department of CISE, University of Florida, Gainesville, FL

  • Venue:
  • Handbook of massive data sets
  • Year:
  • 2002

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Abstract

Data explosion is an increasingly prevalent problem in every field of science. Traditional out-of-core models that assume a single disk have been found inadequate to handle voluminous data. As a result, models that employ multiple disks have been proposed in the literature. For example, the Parallel Disk Systems (PDS) model assumes D disks and a single computer. It is also assumed that a block of data from each of the D disks can be fetched into the main memory in one parallel I/O operation.In this article, we survey sorting and selection algorithms that have been devised for out-of-core models assuming multiple disks. We also consider practical implementations of parallel disk models.