On the Efficiency and Programmability of Large Graph Processing in the Cloud

Abstract

As the study of large graphs over hundreds of gigabytes becomes increasingly popular in cloud computing, efficiency and programmability of large graph processing tasks challenge existing tools. The inherent random access pattern on the graph generates significant amount of network traffic. Moreover, implementing custom logics on the unstructured data in a… (More)

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