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White Paper: Streaming Big Data with Self-Adjusting Computation
Created by RG Maddox on 11/19/2012 12:53:31 PM

Researchers investigated the use of self-adjusting computation for computing with dynamically changing live, big data. They implemented a single node, self-adjusting version of the MapReduce system using “our approach based on implicit programming with type annotations, and presented experimental results that show that the self-adjusting version is about 500-fold faster than (non-self-adjusting) MapReduce.”

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