Abstract

Science is now generating content and vast amounts of high fidelity data pushing storage requirements from petabytes to exabytes and beyond. Educational institutions and businesses alike are developing a better understanding of the world we live in through heuristic modelling. These models are formed on the foundation of large collated science data sets. However, all this data needs to be stored and maintained. Business policies and regulatory compliance dictates data must be retained for long periods of time, if not permanently.

We will discuss the technologies and the policies that are being developed to manage these massive data sets to allow distributed scientific community access.

About the speakers

Guy Havenstein is an IT Architect for the Education and Research industry in New South Wales, Australia. Guy has experience producing unique customer solutions to complex problems and architecting petascale compute and storage solutions. Guy also has a keen interest in next generation web, cloud computing and virtualisation technologies.

Kevin Mayo is the Chief Technologist for the Education and Research industry in Australia and New Zealand. Recently, Kevin has been working on the large High Performance Computing (HPC) projects at the Australian National University and Bureau of Meteorology. Kevin has extensive experience in working with governments and commercial organisations to architect and implement complex solutions and has particular expertise in the areas of enterprise systems and HPC.