From "Think Like a Vertex" to "Think Like a Graph"

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Provided by: VLD Digital
Topic: Big Data
Format: PDF
To meet the challenge of processing rapidly growing graph and network data created by modern applications, a number of distributed graph processing systems have emerged, such as Pregel and GraphLab. All these systems divide input graphs into partitions, and employ a \"Think like a vertex\" programming model to support iterative graph computation. This vertex-centric model is easy to program and has been proved useful for many graph algorithms. However, this model hides the partitioning information from the users, thus prevents many algorithm-specific optimizations.
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