Current and former SSN grants and projects

This research will investigate how smart cities can use crowdsourcing to provision a collective cloud of computational resources. Smart cities require support for high-velocity and real-time services involving sensor data, such as autonomous vehicles, environmental monitoring and connected wearables, needing geographically distributed computing resources that are fault- tolerant, trustworthy and highly available. One approach to enable the above is to crowdsource computing resources by enabling users to share their own computing devices. Our project seeks to explore how smaller scale problems can use the collective computational power at local (city) level, and exploit on-the-fly resource encounters. Specifically, this research will explore: 1) what are the characteristics of problems that can benefit from citizen-powered, on-the- fly, decentralised computing? 2) why users will participate and how can users be incentivised to participate? and 3) how can such incentive schemes be technically implemented?

The Team: Dr Niroshinie Fernando (lead CI, pictured), Prof Send W. Loke, A/Prof Lubna Alam

A collaboration between the School of IT and the Faculty of Business and Law