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Mihai Lucian Cristea, on behalf of SCARIe team University of Amsterdam TERENA CONFERENCE ‘10, Vilnius, 1 June 2010.

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Presentation on theme: "Mihai Lucian Cristea, on behalf of SCARIe team University of Amsterdam TERENA CONFERENCE ‘10, Vilnius, 1 June 2010."— Presentation transcript:

1 Mihai Lucian Cristea, on behalf of SCARIe team University of Amsterdam TERENA CONFERENCE ‘10, Vilnius, 1 June 2010

2  eVLBI on the Grid: SCARIe  Problems when running SCARIe on Grid  Workflow management: WS-VLAM  Experiments  Conclusions

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4 Telescopes Bring the data from telescopes: Current: 4x256MBps Mid-target: 16x1Gbps Future scenario: 32x4Gbps Correlator Input nodes Correlator nodes Output node Result Software Correlator Architecture Research and Implementation for e-VLBI Requirement: constant throughput

5 Jitter due to network congestion Telescope Correlator Input node Correlator nodes Output node 80% 95% 80% Jitter due to network overload at ingress 2 3 1 NE

6  Specific services to applications: ◦ Only the App knows how to optimally use the resources  Solutions to meet the specific network demands: ◦ Schedule network resources (e.g., parallelize the link usage, not only the CPU usage, tradeoffs link connectivity vs. energy budget) ◦ Application controls the network resources

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9 DAS1 DAS3 DAS5 DAS7 10.1.0.27 10.1.0.29 10.1.0.31 10.1.0.33 10.1.0.x 100Mbps Switch DAS2 DAS4 DAS6 DAS8 10.1.0.30 10.1.0.32 10.1.0.34 10.1.0.28 IXDP2850 1Gbps 10.10.0.32 10.10.0.30 10.10.0.28 10.10.0.34 10.10.0.31 10.10.0.29 10.10.0.27 10.10.0.33 Network Broker

10 DAS1 DAS3 DAS5 DAS7 10.1.0.27 10.1.0.29 10.1.0.31 10.1.0.33 10.1.0.x 100Mbps Switch DAS2 DAS4 DAS6 DAS8 10.1.0.30 10.1.0.32 10.1.0.34 10.1.0.28 IXDP2850 1Gbps 10.10.0.32 10.10.0.30 10.10.0.28 10.10.0.34 10.10.0.31 10.10.0.29 10.10.0.27 10.10.0.33 Network Broker W1W1 W2W2 W3W3 W4W4 R1R1 R2R2 R3R3 R4R4 A B C D E

11 Playback Demos: http://staff.science.uva.nl/~gvlam/wsvlam/demos/wsvlam-dynamic-bw.html http://staff.science.uva.nl/~gvlam/wsvlam/demos/wsvlam-vlc-demo.html

12  Close interactions between applications and networks enables better usage of resources  We support it in Grids by enabling networks as a service  When network resources are not transparent to applications, the interfaces between sensors, networks, and computational resources in the Grid can be managed in order to achieve an optimal interworking


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