Discovery Early Career Researcher Award - Grant ID: DE140100999

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE140100999

Funding Status
Closed

Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the .

Funded Activity Summary

Big Graph Processing in MapReduce. As a large branch of big data processing, big graph processing is becoming increasingly important in both industry and academia, due to the large expressive power of graphs to model complex relationships among entities in the real world. This project will find highly scalable solutions to process big graphs using MapReduce. MapReduce is a big data processing framework that is shown to be scalable to handle structured query language-styled queries but is still open when it is used to process big graphs. Most of the problems studied in this project are fundamental graph problems that are not well studied in MapReduce. This project will enhance big graph processing which is beneficial for both science and society.

Funded Activity Details

Start Date: 01-01-2014

End Date: 31-12-2017

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $395,220.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Information Systems | Pattern Recognition and Data Mining | Database Management |

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences | Information Processing Services (incl. Data Entry and Capture) | Electronic Information Storage and Retrieval Services

Other Keywords

Database Management | Electronic Information Storage and Retrieval Services | Expanding Knowledge in the Information and Computing Sciences | Information Processing Services (incl. Data Entry and Capture) | Information Systems | Pattern Recognition and Data Mining

Related Links