Presentation on theme: "DRAGON Dynamic Resource Allocation via GMPLS Optical Networks Tom Lehman University of Southern California Information Sciences Institute (USC/ISI) National."— Presentation transcript:
DRAGON Dynamic Resource Allocation via GMPLS Optical Networks Tom Lehman University of Southern California Information Sciences Institute (USC/ISI) National Science Foundation Jerry Sobieski University of Maryland (UMD) Mid-Atlantic Crossroads (MAX) Bijan Jabbari George Mason University (GMU)
DRAGON Team Members University of Maryland (UMD) Mid-Atlantic CrossRoads (MAX) University of Southern California Information Sciences Institute (USC/ISI) George Mason University (GMU) Movaz Networks MIT Haystack Observatory NASA Goddard Space Flight Center (GSFC) US Naval Observatory National Center for Supercomputing Applications (NCSA) Alliance Center for Collaboration, Education, Science, and Software (ACCESS)
DRAGON Objectives Experiment with next generation regional optical network architectures, features, capabilities Experiment with eScience applications –What network features and capabilities are needed to support eScience applications? –What features do eScience applications need to include, to best utilize next generation networks? –Build collaborations between network community and eScience communities o to utilize next generation networks to enable advanced science in those domains
DRAGON Activities Instantiation of an Experimental Regional Optical Network in Washington D.C. region –“Hybrid” Packet Switched and Circuit Switched Infrastructure –All optical core –Protocol agnostic (HDTV, ethernet, sonet, fibreChannel, any optical signal) –Dynamic provisioning of end-to-end paths –Inter-Domain –Authentication, Authorization, Accounting –Scheduling Integrate eScience applications –eVLBI –High Definition format collaboration and remote steering/display of visualization resources
Commercial Partner Movaz Networks MEMS-based switching fabric 400 x 400 wavelength switching, scalable to 1000s x 1000s 9.23"x7.47"x3.28" in size Integrated multiplexing and demultiplexing, eliminating the cost and challenge of complex fiber management Dynamic power equalization (<1 dB uniformity), eliminating the need for expensive external equalizers Ingress and egress fiber channel monitoring outputs to provide sub-microsecond monitoring of channel performance using the OPM Switch times < 5ms
eVLBI Experiment Configuration - Goals electronic-Very Long Baseline Interferometry (e-VLBI) –MIT Haystack –NASA GSFC (GGAO) –USNO –Radio Telescopes reachable via other Infrastructures eVLBI Experiment Configuration
Low latency High Definition Collaboration DRAGON Enabled End-to-end native SMPTE 292M transport Media devices are directly integrated into the DRAGON environment via proxy hosts –Register the media device (camera, display, …) –Sink and source signaling protocols –Provide Authentication, authorization and accounting.
Low Latency Visual Area Networking Directly share output of visualization systems across high performance networks. DRAGON allows minimum latency paths.
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