MapReduce is a programming model for parallel data processing widely used in Cloud
computing environments. Current MapReduce implementations are based on centralized …

MapReduce is a distributed programming framework designed to ease the development of
scalable data-intensive applications for large clusters of commodity machines. Most …

A Keyless Signing Infrastructure (KSI) provides users with a means to timestamp documents
on a per-second basis. The KSI consists of a global infrastructure with several server layers …

In the recent years, cloud computing has emerged as the new IT paradigm that promises
elastic resources on a pay-per-use basis. The challenges of cloud computing are focused …

MapReduce has become an important distributed processing model for large-scale data-
intensive applications like data mining and web indexing. Hadoop–an open-source imple …

Map Reduce is a parallel programming paradigm successfully used to perform computations
on massive amounts of data, being widely deployed on clusters, grid, and cloud …

This study presents the advances on designing and implementing scalable techniques to
support the development and execution of MapReduce application in pervasive distributed …

In this chapter, the authors discuss the scope, content, and technical challenges offered up
in the construction and delivery of a 10 week long Cloud Computing module that combines …

MapReduce is a parallel programming framework proposed by Google. Recently, it has
become a popular technology for solving data-intensive applications. However, current …

MapReduce is a programming model widely used in data centers for processing large data
sets in a highly parallel way. Current MapReduce systems are based on master-slave …