RanKloud: Scalable multimedia data processing in server clusters

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

Research output: Contribution to journalArticle

22 Citations (Scopus)

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 2011

Fingerprint

Parallel processing systems
Servers

Keywords

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

ASJC Scopus subject areas

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

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

RanKloud : Scalable multimedia data processing in server clusters. / Candan, Kasim; Kim, Jong; Nagarkar, Parth; Nagendra, Mithila; Yu, Renwei.

In: IEEE Multimedia, Vol. 18, No. 1, 5629341, 01.2011, p. 64-77.

Research output: Contribution to journalArticle

Candan, K, Kim, J, Nagarkar, P, Nagendra, M & Yu, R 2011, 'RanKloud: Scalable multimedia data processing in server clusters', IEEE Multimedia, vol. 18, no. 1, 5629341, pp. 64-77. https://doi.org/10.1109/MMUL.2010.70
Candan, Kasim ; Kim, Jong ; Nagarkar, Parth ; Nagendra, Mithila ; Yu, Renwei. / RanKloud : Scalable multimedia data processing in server clusters. In: IEEE Multimedia. 2011 ; Vol. 18, No. 1. pp. 64-77.
@article{5028fea410d74993ac758ea221a8e086,
title = "RanKloud: Scalable multimedia data processing in server clusters",
abstract = "RanKloud is an efficient, scalable, utility-aware, parallel-processing system for analysis of large media data sets.",
keywords = "cluster architectures, data and work partitioning, Large-scale multimedia processing, MapReduce, nearest neighbor, ranked query processing, sampling, top-k",
author = "Kasim Candan and Jong Kim and Parth Nagarkar and Mithila Nagendra and Renwei Yu",
year = "2011",
month = "1",
doi = "10.1109/MMUL.2010.70",
language = "English (US)",
volume = "18",
pages = "64--77",
journal = "IEEE Multimedia",
issn = "1070-986X",
publisher = "IEEE Computer Society",
number = "1",

}

TY - JOUR

T1 - RanKloud

T2 - Scalable multimedia data processing in server clusters

AU - Candan, Kasim

AU - Kim, Jong

AU - Nagarkar, Parth

AU - Nagendra, Mithila

AU - Yu, Renwei

PY - 2011/1

Y1 - 2011/1

N2 - RanKloud is an efficient, scalable, utility-aware, parallel-processing system for analysis of large media data sets.

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

KW - cluster architectures

KW - data and work partitioning

KW - Large-scale multimedia processing

KW - MapReduce

KW - nearest neighbor

KW - ranked query processing

KW - sampling

KW - top-k

UR - http://www.scopus.com/inward/record.url?scp=79952149970&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79952149970&partnerID=8YFLogxK

U2 - 10.1109/MMUL.2010.70

DO - 10.1109/MMUL.2010.70

M3 - Article

AN - SCOPUS:79952149970

VL - 18

SP - 64

EP - 77

JO - IEEE Multimedia

JF - IEEE Multimedia

SN - 1070-986X

IS - 1

M1 - 5629341

ER -