Innovative Solutions for Deployment of BigData and Disaster Management on Clouds

Australia India Strategic Research Fund (AISRF)

Partners: the University of Melbourne, Indian Institute of Technology (IIT) Kanpur, Indian Institute of Technology (IIT) Bombay and Tata Institute of Fundamental Research (TIFR)

Funding: Department of Industry

Duration: 41 months, start date August 2015

Status: completed

 

Over the duration of the project (41 months), this project has achieved significant scientific outcomes as evident from the publications in the premier International Journals such as IEEE Transactions on Cloud Computing, IEEE Cloud Computing, IEEE Systems, and IEEE Trustcom, ASIA CCS. The project generated nearly 50 conference and journal papers, book chapter and technical reports. This achievement strongly demonstrates the research undertaken in this project has delivered high impact in this area.

The activities in this project contributed to the National Research Priorities (NRPs). Specifically, the activities focused on the priority goal of ‘Smart information use’ of the NRP ‘Frontier Technologies for Building and Transforming Australian Industries’

A disaster, be it natural or man-made, affects the national infrastructure as well as everyday life. Communication is critical for emergency response team to be able to assess the situation and provide appropriate response. In a disaster situation, on one hand, critical infrastructure for communication such as telecommunication towers, could be damaged and thereby negatively affecting the information flow, while on the other hand, the demand for computing resources for message collection and analysis could increase significantly. This project explored how privacy preserved secure communication can be maintained using ad-hoc mobile based transient social network as well as contributed significantly toward the provisioning of computational resources in a cloud environment to be able to cope with the increased demand.

In this way, this project developed an innovative technique for smart information use, particularly solving information management and dissemination challenges during a disaster situation.