K-Means is a clustering algorithm that partitions a set of data points into k clusters (Figure 1). The k-means clustering algorithm is commonly used on large datasets and, due to the algorithm's ...

University project for Cloud Computing course (MSc Computer Engineering at University of Pisa, A.Y. 2022-23). The goal of this project is to develop and analyze an application, that implements the ...

MapReduce was invented by Google in 2004, made into the Hadoop open source project by Yahoo! in 2007, and now is being used increasingly as a massively parallel data processing engine for Big Data.

Data-driven neuroscience research is providing new insights in progression of neurological disorders and supporting the development of improved treatment approaches. However, the volume, velocity, and ...

Abstract: Smart Grids (SGs) are developing as an encouraging technology implied to confront with the energy efficiency issue, presently supported in traditional electrical grids, by disseminating ...

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 ...

When the Big Data moniker is applied to a discussion, it’s often assumed that Hadoop is, or should be, involved. But perhaps that’s just doctrinaire. Hadoop, at its core, consists of HDFS (the Hadoop ...

Abstract: Intelligent algorithms such as genetic algorithms and simulated annealing algorithms have widely been applied to the field of large scale data analysis and data processing. It is potential ...