Memory-Optimized Distributed Graph Processing through Novel Compression Techniques

Abstract

A multitude of contemporary applications now involve graph data whose size continuously grows and this trend shows no signs of subsiding. This has caused the emergence of many distributed graph processing systems including Pregel and Apache Giraph. However, the unprecedented scale now reached by real-world graphs hardens the task of graph processing even in… (More)
DOI: 10.1145/2983323.2983687

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