MapReduce is a promising programming model for distributed data processing. Extensive
research has been conducted on the scalability of MapReduce, and several systems have …

Easily learn, build, and execute real-world Big Data solutions using Hadoop and AWS EMR
About This BookLearn how to solve big data problems using Apache HadoopUse Amazon …

This paper describes the existing challenges of creating MapReduce algorithms and how
our approach minimizes these challenges. MapRedoop is a framework that can be used to …

In recent years, cloud computing as a new Internet application pattern is changing the way
that people access information and services. And, MapReduce, as a large-scale data …

In the current decade, doing the search on massive data to find “hidden” and valuable
information within it is growing. This search can result in heavy processing on considerable …

Distributed data processing framework MapReduce is increasingly deployed in Clouds to
leverage the pay-per-usage cloud computing model. Popular Hadoop MapReduce …

MapReduce framework has been one of the most prominent ways for efficient processing
large amount of data requiring huge computational capacity. On-demand computing …

The MapReduce paradigm provides a scalable model for large scale data intensive
computing and associated fault-tolerance. Data volumes generated and processed by …

Many companies are increasingly using MapReduce for efficient large scale data
processing such as personalized advertising, spam detection, and different data mining …

This paper presents a new MapReduce cloud service model, Cura, for provisioning cost-
effective MapReduce services in a cloud. In contrast to existing MapReduce cloud services …