Realizing Memory-Optimized Distributed Graph Processing

    IEEE Transactions on Knowledge and Data Engineering, pp. 743-756, 2018.

    Cited by: 5|Bibtex|Views3|Links
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    OptimizationMemory managementFacebookGlobal Positioning SystemScalabilityMore(1+)

    Abstract:

    A multitude of contemporary applications heavily involve graph data whose size appears to be ever-increasing. This trend shows no signs of subsiding and has caused the emergence of a number of distributed graph processing systems including Pregel, Apache Giraph, and GraphX. However, the unprecedented scale now reached by real-world graphs...More

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