Adaptive performance prediction for distributed data-intensive applications
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
Topology discovery for large ethernet networks
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Combining active and passive network measurements to build scalable monitoring systems on the grid
ACM SIGMETRICS Performance Evaluation Review
Mesh generation and optimistic computation on the grid
Performance analysis and grid computing
On the development of a communication-aware task mapping technique
Journal of Systems Architecture: the EUROMICRO Journal
IEEE Transactions on Parallel and Distributed Systems
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The development and performance of network-aware applications depends on the availability of accurate predictions of network resource properties. Obtaining this information directly from the network is a scalable solution that provides the accurate performance predictions and topology information needed for planning and adapting application behavior across a variety of networks. The performance predictions obtained directly from the network are as accurate as application-level benchmarks, but the network-based technique provides the added advantages of scalability and topology discovery.We describe how to determine network properties directly from the network using SNMP. We provide an overview of SNMP and describe the features it provides that make it possible to extract both available bandwidth and network topology information from network devices. The available bandwidth predictions based on network queries using SNMP are compared with traditional predictions based on application history to demonstrate that they are equally useful. To demonstrate the feasibility of topology discovery, we present results for a large Ethernet at CMU.