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P2P-MapReduce [17] is a P2P model under the MapReduce framework.
With this aim, we will make use of three different models under the MapReduce framework.
In [22], the authors define a P2P model under the MapReduce framework.
In this paper, we parallelize a bit-vector algorithm, Myers algorithm, on a multi-core CPU under the MapReduce framework.
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Fig. 1 The MapReduce framework.
"MapReduce" section discusses the basics of the MapReduce framework.
Then, "Big Data and the MapReduce framework" section presents the scenario of Big Data and the MapReduce framework.
The MapReduce framework is illustrated in Fig. 1.
It presents scalable anonymization methods [69] within the MapReduce framework.
Since Web applications often use the MapReduce framework, we develop a solution to perform similarity joins in NoSQL systems using the MapReduce framework.
In the MapReduce framework, the split size of input files and of InputFormat describes input specifications for a MapReduce job.
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