Service and Cloud Computing


With the rising size and complexity of software applications and data stores, attention has turned to harnessing sparsely distributed computing resources to complete tasks within reasonable time frames and within budget. Cloud computing is a realization of computing as a utility - clients use IT resources accessible via the Internet in the same manner as real world utilities such as power, water and gas.

Cloud computing has been made possible by combining the following major areas such as:

  • Services and SOA - basic components of the whole infrastructure and base architecture on how resources are offered to clients and maintained by service providers
  • Virtualization - the provision of any required platform through emulation thus not being limited to the hardware (and software) used to construct the cloud itself
  • SLAs - agreements formulated to protect both service providers and clients
  • Internet technologies - specifically Web services, thus providing a platform independent communication infrastructure

Lab Co-ordinator

Prof Andrzej Goscinski

Lab members

Prof Jemal Abawajy
Mr Izzat Azziz
Mr Philip Church
Dr Robert Dew
Dr Michael Hobbs

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Major research themes

Supporting automated software deployment, generation of web interfaces and virtual machine indexing in a cloud environment

Cloud tools for bio-informatics
Tools to support comparative analysis of the mammalian species, from sequence alignment to gene interactions

Automation of cloud application deployment and exposure
A technology for simplifying the deployment, access and customisation of computationally demanding applications in clouds

Bioinformatics workflows in cloud environment
Developing application workflows for genomics research using the Galaxy

Bioinformatics tool A DNA simulation tool
A high performance simulation and visualisation tool for performing molecular dynamics simulation of DNA

A cloud environment for the deployment, publication, access and execution of HPC applications via web portals

HPC Hybrid Deakin (H2D) Cloud
A cloud environment that allows application execution using multiple clouds hosted clusters concurrently

The RVWS Framework
A web framework allowing resource state and characteristics to be published via stateful WSDL documents and learned of via a new registry called the Dynamic Broker

The Hydrocarbon Exploration and Discovery Model
New methods and advanced technologies to support the hydrocarbon exploration and discovery operation

The SLA Management Framework
A legal paradigm to support the Hydrocarbon Exploration and Discovery Model embracing technological attributes

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