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The number of applications that require parallel and high-performance computing techniques has diminished in recent years due to to the continuing increase in power of PC, workstation and mono-processor systems. However, Geographic information systems (GIS) still provide a resource-hungry application domain that can make good use of parallel techniques. We(More)
We describe a distributed computational infrastructure for accessing and processing a large repository of geostationary satellite data through a World Wide Web browser interface. Our repository of GMS5 satellite data is stored on a combined RAID and tape silo system, accessible from a cluster of DEC Alpha workstations, interconnected by ATM LAN technology(More)
Contextual information such as spatial location can significantly enhance the utility of mobile applications. We introduce the concept of active preferences that represent a combination of user preference information and choices combined with spatial or temporal information. Active preferences set the policy on how a mobile application should customise its(More)
Metacomputing is a convenient and powerful abstraction for dealing with the complexities that arise when managing and using a large collection of heterogeneous computational resources. One of the most fundamental characteristics of a metacomputing system is the algorithm it uses for the scheduling placement of jobs on processing nodes. We describe five(More)
We describe a web-based control system for invoking pipelined processes on a large on-line archive of geostationary satellite imagery through a World Wide Web browser interface. Our archive of GMS5 satellite data is stored on a combined RAID and tape silo system, accessible from a cluster of ATM-connected DEC Alpha workstations in Adelaide and Canberra. Our(More)
An increasing number of science and engineering applications require distributed and parallel computing resources to satisfy user response-time requirements. Distributed science and engineering applications require a high performance " middleware " which will both allow the embedding of legacy applications as well as enable new distributed programs, and(More)
We present a distributed geographic information system (DGIS) built on a distributed high performance computing environment using a number of software infrastructural building blocks and computational resources interconnected by an ATM-based broadband network. Archiving, access and processing of scientiic data are discussed in the context of geographic and(More)
A number of applications that use GIS for decision support can potentially be enhanced by the use of high-performance computers, broadband networks and mass data stores. We describe our efforts in integrating together these powerful resources to provide useful services to Web-based clients for applications including environmental analysis for agricultural(More)