In the last two decades, the continuous increase of computational power has produced an
overwhelming flow of data which has called for a paradigm shift in the computing …

MapReduce is a framework for processing and managing large-scale datasets in a
distributed cluster, which has been used for applications such as generating search indexes …

It is already true that Big Data has drawn huge attention from researchers in information
sciences, policy and decision makers in governments and enterprises. As the speed of …

A prominent parallel data processing tool MapReduce is gaining significant momentum from
both industry and academia as the volume of data to analyze grows rapidly. While …

With the rapid growth of emerging applications like social network analysis, semantic Web
analysis and bioinformatics network analysis, a variety of data to be processed continues to …

Enterprises today acquire vast volumes of data from different sources and leverage this
information by means of data analysis to support effective decision-making and provide new …

To achieve high reliability and scalability, most large-scale data warehouse systems have
adopted the cluster-based architecture. In this paper, we propose the design of a new cluster …

In the real time scenario, the volume of data used linearly increases with time. Social
networking sites like Facebook, Twitter discovered the growth of data which will be …

Today we are living with the extensive volume of information which is developing at a very
fast pace. Clustering is the process of group similar kinds of information. The serial k-means …

With the development of information technologies, we have entered the era of Big Data.
Google's MapReduce programming model and its open-source implementation in Apache …