Combining public cloud and private cloud

Abstract

In this project, we would like to do research on how to seamlessly split computation across public cloud and private cloud to provide an privacy preserving computation environment.

Intellectual Merit

Automatic split computation, privacy preserving.

Broader Impact

Balance the cost and efficiency between public cloud and private cloud.

Use of FutureGrid

We would like to do research on combining public cloud and private cloud in a seamless way when doing computation on sensitive data.

Scale Of Use

about 20 or more VMs

Publications

Project Number: FG-53

Project Lead: Xiaoyong Zhou

Institution: Indiana University

Project Status: Active

View Project Details

FutureGrid Experts

Andrew Younge

Javier Diaz Montes

Keywords

clouds, hybrid, mapreduce, privacy

Timeline

Updated: 2 years 5 days ago