Disaster Recovery and Management using Twitter and MapReduce

Project Information

Discipline
Computer Science (401) 
Orientation
Education 
Abstract

We seek to develop a robust application aimed at disaster notification,recovery and management using Twitter feeds.This application explores the dynamic nature of twitter feeds over a region and period of time to develop a quick notification system for users to prepare to deal with disasters in real time.As an extension we seek to develop a predictive system usable over the future to serve the same purpose in disaster prone areas during the critical times of the year and deploy a mobile application for the same.

Intellectual Merit

Our project is unique in its integration of different technologies and the idea it proposes.We seek to integrate MapReduce with twitter and if possible extend the scope to Cloud and mobile application domain.

Broader Impacts

Our project is aimed at developing a robust and practical application that could serve to notify people about oncoming disasters soon enough for them to prepare for it.

Project Contact

Project Lead
David Young (youngdm8) 
Project Manager
David Young (youngdm8) 

Resource Requirements

Hardware Systems
  • alamo (Dell optiplex at TACC)
  • hotel (IBM iDataPlex at U Chicago)
  • india (IBM iDataPlex at IU)
  • sierra (IBM iDataPlex at SDSC)
  • bravo (large memory machine at IU)
  • delta (GPU Cloud)
 
Use of FutureGrid

We intend to use the Hadoop and MapReduce framework on FutureGrid.

Scale of Use

We require a few VMs for the project but a multinode cluster of Mapreduce

Project Timeline

Submitted
04/06/2012 - 20:44 
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