[PDF][PDF] A Comparison of Amazon Elastic Mapreduce and Azure Mapreduce

B Rashidi, E Asyabi, T Jafari - Elixir International Journal, 2012 - academia.edu
In last two decades continues increase of comput-ational power and recent advance in the
web technology cause to provide large amounts of data. That needs large scale data …

View of MapReduce: Programming model, methods, and its applications

F Wei, P Wubin, C Zhiming - IETE Technical Review, 2012 - Taylor & Francis
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 …

Resilin: Elastic MapReduce over Multiple Clouds

A Iordache, C Morin, N Parlavantzas, P Riteau - 2012 - inria.hal.science
The MapReduce programming model, introduced by Google, offers a simple and efficient
way of performing distributed computation over large data sets. Although Google's …

A survey on MapReduce implementations

A Al-Badarneh, A Mohammad, S Harb - International Journal of …, 2016 - igi-global.com
A distinguished successful platform for parallel data processing MapReduce is attracting a
significant momentum from both academia and industry as the volume of data to capture …

HSim: a MapReduce simulator in enabling cloud computing

Y Liu, M Li, NK Alham, S Hammoud - Future Generation Computer Systems, 2013 - Elsevier
MapReduce is an enabling technology in support of Cloud Computing. Hadoop which is a
MapReduce implementation has been widely used in developing MapReduce applications …

Bringing elastic mapreduce to scientific clouds

P Riteau, K Keahey, C Morin - 3rd Annual Workshop on Cloud …, 2011 - inria.hal.science
The MapReduce programming model, proposed by Google, offers a simple and efficient way
to perform distributed computation over large data sets. The Apache Hadoop framework is a …

The Emergence of Modified Hadoop Online-Based MapReduce Technology in Cloud Environments

SM Allayear, M Salahuddin, D Hossain… - Workshop on Big Data …, 2014 - Springer
The exponential growth of data first presented challenges to cutting-edge businesses such
as Goggle, Yahoo, Amazon, Microsoft, Facebook, and Twitter. Data volumes to be …

[PDF][PDF] Large-scale data processing using mapreduce in cloud computing environment

S Daneshyar, M Razmjoo - International Journal on Web Service …, 2012 - academia.edu
The computer industry is being challenged to develop methods and techniques for
affordable data processing on large datasets at optimum response times. The technical …

Resilin: Elastic MapReduce for private and community Clouds

P Riteau, A Iordache, C Morin - 2011 - inria.hal.science
The MapReduce programming model, introduced by Google, offers a simple and efficient
way of performing distributed computation over large data sets. Although Google's …

Importance of MapReduce for big data applications: A survey

M Durairaj, TS Poornappriya - Asian Journal of Computer Science and …, 2018 - ajcst.co
Significant regard for MapReduce framework has been trapped by a wide range of areas. It
is presently a practical model for data-focused applications because of its basic interface of …