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Social Based Layouts for the Increase of Locality in Graph Operations

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Database Systems for Advanced Applications (DASFAA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6587))

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Abstract

Graphs provide a natural data representation for analyzing the relationships among entities in many application areas. Since the analysis algorithms perform memory intensive operations, it is important that the graph layout is adapted to take advantage of the memory hierarchy.

Here, we propose layout strategies based on community detection to improve the in-memory data locality of generic graph algorithms. We conclude that the detection of communities in a graph provides a layout strategy that improves the performance of graph algorithms consistently over other state of the art strategies.

The members of DAMA-UPC thank the Ministry of Science and Innovation of Spain and Generalitat de Catalunya, for grant numbers TIN2009-14560-C03-03 and GRC-1087 respectively.

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Author information

Authors and Affiliations

  1. DAMA-UPC, Department d’Arquitectura de Computadors, Universitat Politècnica de Catalunya, Campus Nord, C/Jordi Girona 1-3, 08034, Barcelona, Catalonia, Spain

    Arnau Prat-Pérez, David Dominguez-Sal & Josep L. Larriba-Pey

Authors
  1. Arnau Prat-Pérez
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  2. David Dominguez-Sal
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  3. Josep L. Larriba-Pey
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Editor information

Editors and Affiliations

  1. Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong,, Shatin, N.T., Hong Kong, China

    Jeffrey Xu Yu

  2. Department of Computer Science, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro (373-1 Guseong-don), Yuseong-gu, 305-701, Daejeon, Korea

    Myoung Ho Kim

  3. Institute for Computer Science and Business Information Systems (ICB), University of Duisburg-Essen, Schützenbahn 70, 45117, Essen, Germany

    Rainer Unland

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Prat-Pérez, A., Dominguez-Sal, D., Larriba-Pey, J.L. (2011). Social Based Layouts for the Increase of Locality in Graph Operations. In: Yu, J.X., Kim, M.H., Unland, R. (eds) Database Systems for Advanced Applications. DASFAA 2011. Lecture Notes in Computer Science, vol 6587. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20149-3_40

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  • DOI: https://doi.org/10.1007/978-3-642-20149-3_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20148-6

  • Online ISBN: 978-3-642-20149-3

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