Large Graph Processing in the Cloud

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Provided by: Association for Computing Machinery
Topic: Cloud
Format: PDF
As the study of graphs, such as web and social graphs, becomes increasingly popular, the requirements of efficiency and programming flexibility of large graph processing tasks challenge existing tools. The authors propose to demonstrate Surfer, a large graph processing engine designed to execute in the cloud. Surfer provides two basic primitives for programmers - MapReduce and propagation. MapReduce, originally developed by Google, processes different key-value pairs in parallel, and propagation is an iterative computational pattern that transfers information along the edges from a vertex to its neighbors in the graph. These two primitives are complementary in graph processing.
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