Design Patterns for Efficient Graph Algorithms in MapReduce Jimmy Lin and Michael Schatz University of Maryland, College Park {jimmylin,mschatz}@umd.edu ABSTRACT Graphs are analyzed in many important contexts, includ- ing ranking search results based on the hyperlink struc- ture of the world wide web, module detection of protein- protein interaction networks, and privacy analysis of social network
Cloud9 is a MapReduce library for Hadoop designed to serve as both a teaching tool and to support research in data-intensive text processing. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. Hadoop provides an open-source implementation of the programming model.
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