RanKloud: Scalable multimedia data processing in server clusters

Kasim Candan, Jong Kim, Parth Nagarkar, Mithila Nagendra, Renwei Yu

Research output: Contribution to journalArticle

24 Scopus citations

Abstract

RanKloud is an efficient, scalable, utility-aware, parallel-processing system for analysis of large media data sets.

Original languageEnglish (US)
Article number5629341
Pages (from-to)64-77
Number of pages14
JournalIEEE Multimedia
Volume18
Issue number1
DOIs
StatePublished - Jan 1 2011

Keywords

  • Large-scale multimedia processing
  • MapReduce
  • cluster architectures
  • data and work partitioning
  • nearest neighbor
  • ranked query processing
  • sampling
  • top-k

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Media Technology
  • Hardware and Architecture
  • Computer Science Applications

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  • Cite this

    Candan, K., Kim, J., Nagarkar, P., Nagendra, M., & Yu, R. (2011). RanKloud: Scalable multimedia data processing in server clusters. IEEE Multimedia, 18(1), 64-77. [5629341]. https://doi.org/10.1109/MMUL.2010.70