Efficient wide area data transfer protocols for 100 Gbps networks and beyond. Kissel, E., Swany, M., Tierney, B., & Pouyoul, E. In Proc. of NDM 2013: 3rd Int. Workshop on Network-Aware Data Management - Held in Conjunction with SC 2013: The Int. Conference for High Performance Computing, Networking, Storage and Analysis, 2013.
doi  abstract   bibtex   
Due to a number of recent technology developments, now is the right time to re-examine the use of TCP for very large data transfers. These developments include the deployment of 100 Gigabit per second (Gbps) network backbones, hosts that can easily manage 40 Gbps, and higher, data transfers, the Science DMZ model, the availability of virtual circuit technology, and wide-area Remote Direct Memory Access (RDMA) protocols. In this paper we show that RDMA works well over wide-area virtual circuits, and uses much less CPU than TCP or UDP. We also characterize the limitations of RDMA in the presence of other traffic, including competing RDMA flows. We conclude that RDMA for Science DMZ to Science DMZ transfers of massive data is a viable and desirable option for high-performance data transfer. Copyright 2013 ACM.
@inproceedings{
 title = {Efficient wide area data transfer protocols for 100 Gbps networks and beyond},
 type = {inproceedings},
 year = {2013},
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 abstract = {Due to a number of recent technology developments, now is the right time to re-examine the use of TCP for very large data transfers. These developments include the deployment of 100 Gigabit per second (Gbps) network backbones, hosts that can easily manage 40 Gbps, and higher, data transfers, the Science DMZ model, the availability of virtual circuit technology, and wide-area Remote Direct Memory Access (RDMA) protocols. In this paper we show that RDMA works well over wide-area virtual circuits, and uses much less CPU than TCP or UDP. We also characterize the limitations of RDMA in the presence of other traffic, including competing RDMA flows. We conclude that RDMA for Science DMZ to Science DMZ transfers of massive data is a viable and desirable option for high-performance data transfer. Copyright 2013 ACM.},
 bibtype = {inproceedings},
 author = {Kissel, E. and Swany, M. and Tierney, B. and Pouyoul, E.},
 doi = {10.1145/2534695.2534699},
 booktitle = {Proc. of NDM 2013: 3rd Int. Workshop on Network-Aware Data Management - Held in Conjunction with SC 2013: The Int. Conference for High Performance Computing, Networking, Storage and Analysis}
}

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