Chairman's Statement

Executive Summary

Structure

Cooperation

Research
Network Applications
Resource Discovery
Multimedia Framework
Data Archives

  Introduction
  Achievements
  Research Planned
  DHPC-I
  CROP
  DGIS
  MDDV

AVCC-AARNet

Education

Research Utilisation

Staffing

Publications

Publicity

Grants and Awards

Performance
O n - L i n e   D a t a   A r c h i v e s

Objective

The On-Line Data Archives (OLDA) project is designing and prototyping systems for on-demand access to large distributed data archives, and demonstrating high performance solutions to time-critical applications requiring large datasets.

Introduction

The On-Line Data Archives project is managed under the On-Line Data Archives Program of the Advanced Computational Systems CRC. It is concerned with the delivery of decision support data products derived from active archives of large data sets. Active archives available on wide-area broadband networks allow users to browse data catalogues, schedule the creation of decision support information, and obtain the information on-demand.

Users include those in the agribusiness, defence, emergency services and mineral exploration business sectors. The OLDA project is developing prototype demonstrations of a distributed high performance computing infrastructure known as DISCWorld P which provides the middleware to glue together computing systems and data archives distributed around Australia.

The OLDA project is structured around core research activities and a postgraduate education program, with collaborative demonstration development projects leveraging off the research. OLDA has two main development teams based in Adelaide and in Canberra.

The project is

  • Developing metacomputing middleware.
  • Developing software demonstrators for collaborators and clients.
  • Providing consulting services in high-performance computing, and use of object-oriented software environments such as Java and CORBA in developing networked applications for distributed data management and processing.
  • Developing training material to help industry use high performance and distributed computing systems.



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