Memory-Optimized Distributed Graph Processing through Novel Compression Techniques
ACM International Conference on Information and Knowledge Management, 2016.
Graph compressionPregelDistributed computing
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, among others, Pregel and Apache Giraph. By and large, these systems follow a vertex-centric model of computation wea...More
PPT (Upload PPT)