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

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

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

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

 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

DAS1 DAS3 DAS5 DAS x 100Mbps Switch DAS2 DAS4 DAS6 DAS IXDP2850 1Gbps Network Broker

DAS1 DAS3 DAS5 DAS x 100Mbps Switch DAS2 DAS4 DAS6 DAS IXDP2850 1Gbps Network Broker W1W1 W2W2 W3W3 W4W4 R1R1 R2R2 R3R3 R4R4 A B C D E

Playback Demos:

 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