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European Conference on Parallel Processing

Euro-Par 2011: Euro-Par 2011: Parallel Processing Workshops pp 387–397Cite as

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Group-Based Memory Deduplication for Virtualized Clouds

Group-Based Memory Deduplication for Virtualized Clouds

  • Sangwook Kim30,
  • Hwanju Kim31 &
  • Joonwon Lee30 
  • Conference paper
  • 1193 Accesses

  • 5 Citations

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7156)

Abstract

In virtualized clouds, machine memory is known as a resource that primarily limits consolidation level due to the expensive cost of hardware extension and power consumption. To address this limitation, various memory deduplication techniques have been proposed to increase available machine memory by eliminating memory redundancy. Existing memory deduplication techniques, however, lack isolation support, which is a crucial factor of cloud quality of service and trustworthiness. This paper presents a group-based memory deduplication scheme that ensures isolation between customer groups colocated in a physical machine. In addition to isolation support, our scheme enables per-group customization of memory deduplication according to each group’s memory demand and workload characteristic.

Keywords

  • Memory deduplication
  • Isolation
  • Cloud computing

This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MEST) (No. 2011-0000371).

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Author information

Authors and Affiliations

  1. Sungkyunkwan University, Suwon, Gyeonggi-do, Korea

    Sangwook Kim & Joonwon Lee

  2. Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea

    Hwanju Kim

Authors
  1. Sangwook Kim
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  2. Hwanju Kim
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  3. Joonwon Lee
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Editor information

Editors and Affiliations

  1. Scilytics, Koellnerhofgasse 3/15A, 1010, Vienna, Austria

    Michael Alexander

  2. ICAR-CNR, Via P. Castellino, 111, 80131, Napoli, Italy

    Pasqua D’Ambra

  3. University of Amsterdam, 1090, Amsterdam, Netherlands

    Adam Belloum

  4. Innovative Computing Laboratory, The University of Tennessee, US

    George Bosilca

  5. Department of Experimental Medicine and Clinic, University Magna Græcia, 88100, Catanzaro, Italy

    Mario Cannataro

  6. Computer Science Department, University of Pisa, Italy

    Marco Danelutto

  7. Second University of Naples, Italy

    Beniamino Di Martino

  8. TUMünchen,, Boltzmannstr. 3, ,, 85748, Garching, Germany

    Michael Gerndt

  9. Equipe Runtime, INRIA Bordeaux Sud-Ouest, 33405, Talence Cedex, France

    Emmanuel Jeannot & Raymond Namyst & 

  10. Equipe HIEPACS, INRIA Bordeaux Sud-Ouest, 33405, Talence Cedex, France

    Jean Roman

  11. Computer Science and Mathematics Division, Oak Ridge National Laboratory, 37831-6164, Oak Ridge, TN, USA

    Stephen L. Scott

  12. Department of Scientific Computing, University of Vienna, Nordbergstr. 15/3C, 1090, Vienna, Austria

    Jesper Larsson Traff

  13. Computer Science and Mathematics Division, Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA

    Geoffroy Vallée

  14. Technische Universität München, Germany

    Josef Weidendorfer

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Kim, S., Kim, H., Lee, J. (2012). Group-Based Memory Deduplication for Virtualized Clouds. In: Alexander, M., et al. Euro-Par 2011: Parallel Processing Workshops. Euro-Par 2011. Lecture Notes in Computer Science, vol 7156. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29740-3_44

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  • DOI: https://doi.org/10.1007/978-3-642-29740-3_44

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  • Print ISBN: 978-3-642-29739-7

  • Online ISBN: 978-3-642-29740-3

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