In this paper, the authors have implemented an efficient MapReduce Apriori algorithm (MRApriori) based on Hadoop-MapReduce model which needs only two phases (MapReduce Jobs) to find all frequent k ...

Google introduced the MapReduce algorithm to perform massively parallel processing of very large data sets using clusters of commodity hardware. MapReduce is a core Google technology and key to ...

The general MapReduce concept is simple: The "map" step partitions the data and distributes it to worker processes, which may run on remote hosts. The outputs of the parallelized computations are ...

Back in 2013, Google announced its plans to not sue anybody who had implemented open-source versions of its MapReduce algorithm. Since then, the company has expanded what it calls its "Open Patent ...

"We knew that we were going to have to take Hadoop beyond MapReduce," Murthy says. "The programming model—the MapReduce algorithm—was limited. It can't support the very wide variety of use-cases we're ...

So it might seem strange that so much effort would be devoted to creating Misco, a version of MapReduce that can be handled by a “server farm” comprised of 20-odd Nokia N95 smartphones.