The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Scheduling From the Perspective of the Application
HPDC '96 Proceedings of the 5th IEEE International Symposium on High Performance Distributed Computing
Forecasting network performance to support dynamic scheduling using the network weather service
HPDC '97 Proceedings of the 6th IEEE International Symposium on High Performance Distributed Computing
A Resource Query Interface for Network-Aware Applications
HPDC '98 Proceedings of the 7th IEEE International Symposium on High Performance Distributed Computing
A Prediction-Based Real-Time Scheduling Advisor
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
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By definition, a heavyweight network service requires a significant amount of computation to complete its task. Providing a heavyweight service is challenging for a number of reasons. First, since the service can typically not be provided in a timely fashion using a single server at the remote site, multiple hosts at both the server and client sites must be employed. Second, the available compute and network resources change with respect to time. Thus, an effective service must be adaptive in the sense that it is able to transparently aggregate the available resources and react to the changing availability of these resources. In this paper we present a framework that allows us to build these kinds of adaptive heavyweight services. Experimental results with a distributed visualization service suggest that the cost imposed by the new capability is reasonable.