Case Study of Scientific Data Processing on a Cloud Using Hadoop
Source: University of Waterloo
With the increasing popularity of cloud computing, Hadoop has become a widely used open source cloud computing framework for large scale data processing. However, few efforts have been made to demonstrate the applicability of Hadoop to various real-world application scenarios in fields other than server side computations such as web indexing, etc. In this paper, the authors use the Hadoop cloud computing framework to develop a user application that allows processing of scientific data on clouds. A simple extension to Hadoop's MapReduce is described which allows it to handle scientific data processing problems with arbitrary input formats and explicit control over how the input is split.