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    Optimizing graph algorithms on pregel-like systems

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    Type
    Article
    Authors
    Salihoglu, Semih
    Widom, Jennifer
    Date
    2014-03-01
    Permanent link to this record
    http://hdl.handle.net/10754/599105
    
    Metadata
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    Abstract
    We study the problem of implementing graph algorithms efficiently on Pregel-like systems, which can be surprisingly challenging. Standard graph algorithms in this setting can incur unnecessary inefficiencies such as slow convergence or high communication or computation cost, typically due to structural properties of the input graphs such as large diameters or skew in component sizes. We describe several optimization techniques to address these inefficiencies. Our most general technique is based on the idea of performing some serial computation on a tiny fraction of the input graph, complementing Pregel's vertex-centric parallelism. We base our study on thorough implementations of several fundamental graph algorithms, some of which have, to the best of our knowledge, not been implemented on Pregel-like systems before. The algorithms and optimizations we describe are fully implemented in our open-source Pregel implementation. We present detailed experiments showing that our optimization techniques improve runtime significantly on a variety of very large graph datasets.
    Citation
    Salihoglu S, Widom J (2014) Optimizing graph algorithms on pregel-like systems. Proceedings of the VLDB Endowment 7: 577–588. Available: http://dx.doi.org/10.14778/2732286.2732294.
    Sponsors
    This work was supported by the National Science Foundation(IIS-0904497), the Boeing Corporation, a KAUST research grant,and a research grant from Amazon Web Services.
    Publisher
    VLDB Endowment
    Journal
    Proceedings of the VLDB Endowment
    DOI
    10.14778/2732286.2732294
    ae974a485f413a2113503eed53cd6c53
    10.14778/2732286.2732294
    Scopus Count
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