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Research Interests: Parallel and distributed simulation, systems and networking, modeling and simulation, high performance computing Ph.D. Thesis: ROSENET: A
RemOte SErver-based Network EmulaTion System (funded by NSF and DARPA)
Motivated by the need of testing and evaluating
applications and protocols in large scale network environments such as
Internet and the inefficiency in existing experimental tools caused by
physical resource constraints, my
Ph.D. thesis proposes a novel network emulation approach called ROSENET that
balances the tradeoffs among scale, accuracy, and timeliness. In the ROSENET
approach, local low-fidelity emulators quickly deliver results to distributed
applications for timeliness, and remote parallel computing facilities perform
large scale packet-level simulations and continuously update and calibrate
the local low fidelity emulators using network model for scale and accuracy. Professional Activities:
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Last updated 09/28/2007 @ 2002-2007 Yan Gu |
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