Reliability Analysis using Hadoop and MapReduce
Abstract
Researchers can now analyze massive databases that were previously too cumbersome, inconsistent or irregular to drive high-quality output. The goal of this project is to first understand cloud platform infrastructures and then to investigate the use of cloud-computing and Big Data analytics to analyze data-intensive applications.
Intellectual Merit
This research will investigate the use of Hadoop and MapReduce database on performing reliability analysis on aerospace applications. The resulting material and results will be made available.
Broader Impact
This research will provide an introduction to applying reliability analysis techniques to Big Data. Reliability analysis is an essential component of examining manufacturing processes/systems and computing power and efficiency will be essential for the analyses. The research results will be made to make available to FutureGrid.
Use of FutureGrid
This research will investigate the use of Hadoop and MapReduce on performing reliability analysis on aerospace applications.
Scale Of Use
A few VMs for each aerospace application. The project will have around 5 collaborators.
Futuregrid is a resource provider for