Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Congestion control for high bandwidth-delay product networks
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
Reliable Blast UDP: Predictable High Performance Bulk Data Transfer
CLUSTER '02 Proceedings of the IEEE International Conference on Cluster Computing
TransLight: a global-scale LambdaGrid for e-science
Communications of the ACM - Blueprint for the future of high-performance networking
Simple Available Bandwidth Utilization Library for High-Speed Wide Area Networks
The Journal of Supercomputing
GTP: group transport protocol for lambda-Grids
CCGRID '04 Proceedings of the 2004 IEEE International Symposium on Cluster Computing and the Grid
CCGRID '04 Proceedings of the 2004 IEEE International Symposium on Cluster Computing and the Grid
A Feedback Mechanism for Network Scheduling in LambdaGrids
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
End-system aware, rate-adaptive protocol for network transport in LambdaGrid environments
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
RAPID: an end-system aware protocol for intelligent data transfer over lambda grids
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
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Optical circuit-switched networks such as National LambdaRail(NLR) offer dedicated bandwidth to support large-scale bulkdata transfer. Though a dedicated circuit-switched network eliminatescongestion from the network itself, it effectively "pushes" the congestionto the end hosts, resulting in lower-than-expected throughput. Previousapproaches either use an ad-hoc proactive approach that does not generalizewell or a sluggish reactive approach where the sending rate is onlyadapted based on synchronous feedback from the receiver. We address the shortcomings of such approaches using a two-step process. First, we improve the adaptivity of the reactive approach byproposing an asynchronous, fine-grained, rate-based approach. While thisapproach enhances performance, its limitation is that it is still reactive.Consequently, we then analyze the predictive patterns of load on the receiverand provide strong evidence that a proactive approach is not onlypossible, but also necessary, to achieve the best performance in dynamicallyvarying end-host conditions.