The CLOUDS Lab Research Probes

The key objective of the CLOUDS Lab is to develop fundamental, next-generation cloud and grid technologies that support a true utility-driven service-oriented computing. Within CLOUDS Lab, the following research probes are being explored:


The iQuantum Project / Quantum Computing Efforts (from 2022)


The Fogbus Project / Edge and Fog Computing Efforts for IoT Apps (from 2016)


The Cloudbus Project / Cloud Computing Efforts (from 2008)

With the significant advances in Information and Communications Technology (ICT) over the last half century, there is an increasingly perceived vision that computing will one day be the 5th utility (after water, electricity, gas, and telephony). This computing utility, like all other four existing utilities, will provide the basic level of computing service that is considered essential to meet the everyday needs of the general community. To deliver this vision, a number of computing paradigms have been proposed, of which the latest one is known as Cloud computing. Cloud computing aims to enable the dynamic creation of next-generation Data Centers by assembling services of networked Virtual Machines so that users are able to access applications from anywhere in the world on demand.

Cloudbus is a new Melbourne's initiative in Cloud Computing for conducting fundamental research on the design and development of different market-oriented Cloud platforms for a range of applications. Melbourne CLOUDS Lab projects/programs in Cloud Computing include:

AI for Cloud Computing

Cloud Modelling and Simulation

Cloud Application Patform (CAP)

Green Cloud Computing

Reliable Cloud Computing

Workflow Engine

Mobile Cloud Computing

Clouds-based Content Delivery Networks

Stream and Graph Processing

Additional Cloud Efforts


The Gridbus Project / Grid Computing Efforts (mostly from 2002)

Grid Economy and Scheduling

Data Grid Brokering and Scheduling

Workflow Scheduling and Grid Economy

Cooperative Coupling of Clusters

Service Level Agreements (SLA)-based Resource Allocation System

.NET Based Grid Computing

Grid Market Directory and Service Publication

Grid Simulation (GridSim)

Resource Usage Accounting

Meta Search Engine and Web Services

Web-based Grid Portals

Gridscape II: A Customisable and Pluggable Grid Monitoring Portal and its Integration with Google Maps

P2P Compute Power Market (CPM)

Distributed Application Composition

Sensor Grids and Open Sensor Web Architecture

Internetworking of Islands of Grids

Next-Gen Content Delivery Networks

e-Utilities

       
Cloud Computing and Distributed Systems (CLOUDS) Laboratory
School of Computing and Information Systems
The University of Melbourne, Australia