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This integrated study focuses on improving end-to-end application-level performance in scientific computing with new technologies. The project addresses low utilization of high-speed connections and aims to enhance data analysis, networking solutions evaluation, and technology development. Current work involves data analysis, networking benchmarking, and conducting preliminary tests on various resources. Future plans include integrating infrastructure with GridFTP, implementing per-process monitoring solutions, and publishing results.
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An integrated study of datacenter networking and 100GigE wide-area networking in support of distributed scientific computing • Zhengyang Liu • University of Virginia • zl4ef@virginia.edu • Sept. 30, 2011 This work was carried out as part of a sponsored research project from the NSF OCI-1127340
Problem Statement • Poor end-to-end application-level performance • 200MB/s over 10Gb/s connection -> less than 20% utilization
Problem Statement • Data Analysis • Networking Solutions Evaluation • New Technology Development
Data Analysis • Applications • Benchmark • Profiling • Network • Active Measurements • Passive Measurements
Current Work • Learn! • Revisit Networking: A Statistical Approach • Datacenter Networking: InfiniBand, RoCE, iWARP • Iperf • Netflow
Current Work • Preliminary Tests on Our Own Resources • PC / VM / EC2 • Getting familiar with tools: GridFTP, Ganglia, etc. • Preliminary Tests on ANI Testbed
Future Work • Immediate ToDo • Continue Learning • GridFTP tests on ANI • Per-process Monitoring Solution (DTrace?)
A (nascent) Analyzing Framework Iperf What could happen? Netflow What happened inside the network? Ganglia What happened inside the host? DTrace What happened inside the application?
Future Work • Within 1st Year • Further Analysis • Integrate IDC with GridFTP • Publish Results
Future Work • Finish the Project!