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Using R for Iterative and Incremental Processing
2012
USENIX Workshop on Hot Topics in Cloud Computing
It is cumbersome to write complex machine learning and graph algorithms in existing data-parallel models like MapReduce. Many of these algorithms are, by nature, iterative and perform incremental computations, neither of which are efficiently supported by current frameworks. We argue that array-based languages, like R [1], are ideal to express these algorithms, and we should extend these languages for processing in the cloud. In this paper we present the challenges and abstractions to extend R.
dblp:conf/hotcloud/VenkataramanRAS12
fatcat:mgpn3xv6anh4nnu3uuqvptx7um