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We describe an architecture for distributed collaborative visualization that integrates video conferencing, distributed data management and grid technologies as well as tangible interaction devices for visualization. High-speed, low-latency optical networks support high-quality collaborative interaction and remote visualization of large data.
The orchestration of complex workflows on the Grid is emerging as a key goal for the Grid community. It is necessary for these workflows to be executed reliably, respecting any dependences; it is also desirable for the user to know (al-beit approximately) when the workflow will complete. The authors argue that meeting these goals will necessitate a major(More)
HARC—the Highly-Available Resource Co-allocator—is an open-source system for reserving multiple resources in a coordinated fashion. HARC can handle different types of resource, and has been used to reserve time on supercomputers across a US-wide testbed, together with dedicated lightpaths connecting the machines. At HARC's core are a distributed set of(More)
The storing of data and configuration files related to scientific experiments is vital if those experiments are to remain reproducible, or if the data is to be shared easily. The prescence of historical (observed) data is also important in order to assist in model evaluation and development. This paper describes the design and implementation process for a(More)
The Open Grid Services Architecture (OGSA) presents the Grid community with an opportunity to define standard interfaces to enable the construction of an interoperable Grid infrastructure. The provision of this infrastructure has to date come from the donation of time and effort from the research community primarily for their own use. The growing(More)
This paper describes innovative architectures and techniques for reserving and coordinating highly distributed resources, a capability required for many large scale applications. In the fall of 2006, Japan's G-lambda research team and the United States' EnLIGHTened Computing research team used these innovations to achieve the world's first inter-domain(More)
SUMMARY We describe the background, architecture and implementation of a user portal for the SCOOP coastal ocean observing and modeling community. SCOOP is engaged in real time prediction of severe weather events, including tropical storms and hurricanes, and provides operational information including wind, storm surge and resulting inundation, which are(More)
(SURA) has advanced the SURA Coastal Ocean Observing and Prediction (SCOOP) program as a multi-institution collaboration to design and prototype a modular, distributed system for real-time prediction and visualization of the coastal impacts from extreme atmospheric events, including hurricane inundation and waves. The SCOOP program vision is a community "(More)
Hurricane Katrina has had a devastating impact on the US Gulf Coast, and her effects will be felt for many years. Forecasts of such events, coupled with timely response, can greatly reduce casualties and save billions of dollars. We show how visualizations from storm surge and atmospheric simulations, was used to predict how strong, where, and when flooding(More)
Distributed High-Performance Computing Applications are commonplace in several scientific domains. To correctly execute such applications requires the allocation of multiple resources; often, these resources will belong to multiple administrative domains, and so will not be under centralized control. Typically, dedicated resources of different types will be(More)