Combining public cloud and private cloud

Project Details

Project Lead
Xiaoyong Zhou 
Project Manager
Xiaoyong Zhou 
Supporting Experts
Javier Diaz Montes,  
Institution
Indiana University, TBD  
Discipline
Computer Science (401) 

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 Impacts

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

Scale of Use

about 20 or more VMs