Did you mean: Cumulative Computation on MapReduce.
We describe the programming interface of our accumulate framework and explain how to transform a user-specified accumulate computation to an efficient MapReduce ...
We describe the programming interface of our accumulate framework and explain how to transform a user-specified accumulate computation to an efficient MapReduce ...
Dec 31, 2013 · In this paper we propose a new approach of using the programming pattern accumulate over MapReduce, to handle a large class of problems that ...
This paper proposes a new approach of using the programming pattern accumulate over MapReduce, to handle a large class of problems that cannot be simply ...
Oct 22, 2024 · This paper describes a data distribution aware MapReduce task scheduling strategy. When worker nodes requests for tasks, it will compute and ...
This highlights one of the sequential aspects of MapReduce computation: all of the maps need to finish before the reduce stage can begin.
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Map operates on a list of values in order to produce a new list of values, by applying the same computation to each value. Reduce operates on a list of ...
Map-reduce is a divide-and-conquer computation model, which was designed to run on top of HDFS. Not surprisingly, it divides the computation up into two ...
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Mar 19, 2015 · Map-reduce is a programming database model that uses a parallel and distributed algorithm to process and generate large sets of data in databases on big ...
This example shows how to compute summary statistics organized by group using mapreduce . It demonstrates the use of an anonymous function to pass an extra ...