A simulation study on Map/Reduce framework in wireless data center environment

Hwantae Kim, Jongtack Jung, Mungyu Bae, Hwangnam Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Big data has different characteristics from the traditional data. It has large volume and various type and requires real-time processing. To process the big data, cluster based parallel and distributed computing model, Map/Reduce has been introduced. The Map/Reduce is basically designed for the cluster where the processing units are connected to each other with wired network, called data center. However, in the future, the wireless data center would be introduced since it has low installation and management complexity and cost. To introduce the wireless data center, we need to answer the fundamental question, 'How does Map/Reduce framework would operate in the wireless data center?' To answer the question, in this paper, we perform simulation study of the Map/Reduce application in the wireless environment. We introduce the basic simulation model and the results of the simulation study to verify the potential of the wireless data center.

Original languageEnglish
Title of host publicationInternational Conference on ICT Convergence
PublisherIEEE Computer Society
Pages440-445
Number of pages6
ISBN (Print)9781479906987
DOIs
Publication statusPublished - 2013 Jan 1
Event2013 International Conference on Information and Communication Technology Convergence, ICTC 2013 - Jeju Island, Korea, Republic of
Duration: 2013 Oct 142013 Oct 16

Other

Other2013 International Conference on Information and Communication Technology Convergence, ICTC 2013
CountryKorea, Republic of
CityJeju Island
Period13/10/1413/10/16

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Kim, H., Jung, J., Bae, M., & Kim, H. (2013). A simulation study on Map/Reduce framework in wireless data center environment. In International Conference on ICT Convergence (pp. 440-445). [6675391] IEEE Computer Society. https://doi.org/10.1109/ICTC.2013.6675391