Finally, we conducted experiments to compare the MapReduce
implementation of the M2 algorithm running on the Hadoop cluster (denoted MRC), the MapReduce
implementation of the M2 algorithm running on a standalone single-node server (denoted as MRS), the Java implementation of the M2 algorithm running on a single-node server, and the R implementation of the related time-delayed mutual information algorithm, TimeDelay-ARACNE .
implementations of several popular computer vision algorithms, such as clustering for image data and classifier training are described in .
model has become a de facto standard for Big Data analytics by capitalizing on clusters of inexpensive commodity computers.
It comprised innovative technologies like the Hadoop HDFS with MapReduce
programming and a NoSQL database.
In order to follow this trend and enhance the capabilities of a standard QPSO, the MapReduce
quantum-behaved particle swarm optimization is developed.
To realize this, a SPARK MapReduce
based algorithm has been developed, which splits the data and performs various algorithm processes in parallel in the map phase and then combines the solutions in the reduce phase to merge the results.
is a distributed parallel programming model or framework proposed by Google lab, which is mainly used for the parallel processing of large scale data.
In the second step, the Apache Hadoop and the MapReduce
(with Hadoop Streaming) was used for distribute computing for volatility forecasting model.
To better traverse the grids of data generated by this new computing model, Google built MapReduce
and its Google File System.
To calculate the market size, the report considers revenue generated from the sales of Hadoop solutions with functionalities such as MapReduce
, integrated solutions, and services (consultation, training, and maintenance).
In that, a combination between MapReduce
of Hadoop  and MarkLogic NoSQL database  with xQuery supported  is suggested for experiment.
It was inspired by Google's MapReduce
and Google File System and cultivated at Yahoo.