Boosting heapsort performance of processing Big Data streams

Usamah Algemili, Adi Alhudhaif

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Real-time processing is one aspect of the Big Data situation, and it requires an unconventional approach to solve the recent problems that appear at both software and hardware levels. The continuous increase of data velocity has placed a tremendous pressure on the existing systems, and the current volumes of Big Data limit the efforts of storing everything at a pre-processing stage. Hence, on-the-fly processing is necessary more than before in order to support the collective efforts towards Big Data advancement.

Original languageEnglish
Title of host publicationSoutheastCon 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509022465
DOIs
StatePublished - 7 Jul 2016
EventSoutheastCon 2016 - Norfolk, United States
Duration: 30 Mar 20163 Apr 2016

Publication series

NameConference Proceedings - IEEE SOUTHEASTCON
Volume2016-July
ISSN (Print)1091-0050
ISSN (Electronic)1558-058X

Conference

ConferenceSoutheastCon 2016
Country/TerritoryUnited States
CityNorfolk
Period30/03/163/04/16

Keywords

  • Big Data Processing
  • FPGA Design
  • Heapsort
  • On-the-fly processing
  • Pipeline Design
  • Reconfigurable Computing
  • Streaming Processing

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