Research Article
Lambda Station: On-Demand Flow Based Routing for Data Intensive Grid Applications Over Multitopology Networks
@INPROCEEDINGS{10.1109/BROADNETS.2006.4374315, author={A. Bobyshev and M. Crawford and P. DeMar and V. Grigaliunas and M. Grigoriev and A. Moibenko and D. Petravick and R. Rechenmacher and H. Newman and J. Bunn and F. Van Lingen and D. Nae and S. Ravot and C. Steenberg and X. Su and M. Thomas and Y. Xia }, title={Lambda Station: On-Demand Flow Based Routing for Data Intensive Grid Applications Over Multitopology Networks}, proceedings={3rd International IEEE/Create-Net Workshop on Networks for Grid Applications}, publisher={IEEE}, proceedings_a={GRIDNETS}, year={2006}, month={10}, keywords={}, doi={10.1109/BROADNETS.2006.4374315} }- A. Bobyshev
M. Crawford
P. DeMar
V. Grigaliunas
M. Grigoriev
A. Moibenko
D. Petravick
R. Rechenmacher
H. Newman
J. Bunn
F. Van Lingen
D. Nae
S. Ravot
C. Steenberg
X. Su
M. Thomas
Y. Xia
Year: 2006
Lambda Station: On-Demand Flow Based Routing for Data Intensive Grid Applications Over Multitopology Networks
GRIDNETS
IEEE
DOI: 10.1109/BROADNETS.2006.4374315
Abstract
Lambda Station is an ongoing project of Fermi National Accelerator Laboratory and the California Institute of Technology. The goal of this project is to design, develop and deploy network services for path selection, admission control and flow based forwarding of traffic among data- intensive Grid applications such as are used in High Energy Physics and other communities. Lambda Station deals with the last-mile problem in local area networks, connecting production clusters through a rich array of wide area networks. Selective forwarding of traffic is controlled dynamically at the demand of applications. This paper introduces the motivation of this project, design principles and current status. Integration of Lambda Station client API with the essential Grid middleware such as the dCache/SRM Storage Resource Manager is also described. Finally, the results of applying Lambda Station services to development and production clusters at Fermilab and Caltech over, advanced networks such as DOE's UltraScience Net and NSF's UltraLight is covered.
