Website
http://dataportal.arc.gov.au/NCGP/API/grants/LP140100816
Funding Status
Closed
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Funded Activity Summary
Cost efficient scheduling of big data application workflows on cloud through information correlation. Information correlation in and between big data application workflows scheduled on the cloud can help to significantly reduce overall scheduling costs by avoiding the execution of many correlated workflow activities. This project aims to systematically investigate such correlation for cost efficient scheduling. The expected outcomes are: establishing information correlation based scheduling research and practical solutions for this important cloud and big data research area; benefiting key big data application areas on the cloud, such as hospitals, insurance companies and government information services; and helping to maintain Australia at the forefront of cloud and big data research with innovative industry applications.Funded Activity Details
Start Date: 03-2015
End Date: 12-2019
Funding Scheme: Linkage Projects
Funding Amount: $300,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Pattern Recognition and Data Mining | Database Management | Artificial Intelligence and Image Processing
ANZSRC Socio-Economic Objective (SEO)
Internet Hosting Services (incl. Application Hosting Services) | Information Processing Services (incl. Data Entry and Capture) |
