Fog, edge and cloud computing

Edge Computing for Smart Agriculture

Researchers: Dr Adel Toosi

We aim to build a fully-distributed edge computing platform embedded in a network of single-board small computers, like Raspberry Pis, to overcome challenges with high volumes of data and transmission delay to clouds. This addresses the need for automated, near real-time system responsiveness and builds an automatic system for detecting, identifying and repelling pest birds in farming areas. Because the arrangement of electricity for devices in farming areas is challenging, we’lll create an entirely off-grid system using solar power as an energy source.

Software Systems for Green Cyberinfrastructures

Researchers: Dr Adel Toosi
Reza Razzaghi, Behruz Bahrani and Martin Singh (Monash Infrastructure)

Today's society and its organisations are becoming more dependent on ICT systems, which are mostly based in cloud data centers. This makes powering data centres with renewable energy resources of critical interest. However, efficient use of renewable energy is a challenge due to the variable and intermittent nature of both supply and workload demand. This project presents innovative techniques to adapt the workload of data centres to renewable energy supply.

SDN in Multi-Bearer Networks

Researchers: Dr Adel Toosi
Professor Rajkumar Buyya, Dr Maria Rodriguez and Professor Len Sciacca (University of Melbourne)
Professor Vijay Sivaraman (University of New South Wales)

Software-Defined Networking (SDN) is a network management approach that enables dynamic, programmatically-efficient network configuration to improve performance and monitoring – making it more like cloud computing. We aim to address how SDN can be extended to multi-bearer networking and wireless to manage time-sensitive traffic and make applications resilient to degraded network conditions or increased demand on limited network resources.

Energy Flexibility in Green Data Centres

Researchers: Dr Adel Toosi

In this project, we strive to develop innovative algorithms and software systems facilitated by Software-Defined Networking (SDN) to provide energy flexibility to data centre operators, This will allow them to shape their demand to match renewable energy supply. In particular, we’re focused on the consolidation and resource allocation for Virtual Machines (VMs), and network traffic among them following the willingness of data centre clients to accept overbooking resources in the absence of renewable energy. The outcomes of this project are expected to substantially reduce the greenhouse gas emissions of power-hungry data centres.