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DRAGON Dynamic Resource Allocation via GMPLS Optical Networks

This project explores next-generation regional optical network architectures and features, as well as their capabilities in supporting eScience applications. It aims to build collaborations between the network and eScience communities to enable advanced science in various domains. Activities include the instantiation of an experimental regional optical network, dynamic provisioning of end-to-end paths, and integration of eScience applications.

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DRAGON Dynamic Resource Allocation via GMPLS Optical Networks

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  1. DRAGONDynamic Resource Allocation via GMPLS Optical Networks Jerry Sobieski University of Maryland (UMD) Mid-Atlantic Crossroads (MAX) Tom Lehman University of Southern California Information Sciences Institute (USC/ISI) National Science Foundation Bijan Jabbari George Mason University (GMU)

  2. 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)

  3. 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 • to utilize next generation networks to enable advanced science in those domains

  4. 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

  5. End to End GMPLS TransportWhat is missing?

  6. DRAGON Architecture Components • Network Aware Resource Broker (NARB) • Inter-domain routing for GMPLS TE Capabilities • IGP/EGP Listener • Path Computation • AAA • Scheduling (and monitoring/enforcement) • Application Request Processing • Virtual Label Switched Router (VLSR) • Proxy for non-GMPLS capable network segments • Application Specific Topology Descriptions Language (ASTDL) • Language for application requests to network • All Optical End-to-End Routing

  7. VLSR Abstraction

  8. Application Specific Topology Description Language - ASTDL

  9. Heterogeneous Network TechnologiesComplex End to End Paths

  10. DRAGON NetworkOptical Transport layer - Year 3 All Optical Core Dynamic Provisioning of “Application Topologies”

  11. DRAGON Network – Example Topology

  12. Commercial PartnerMovaz 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

  13. 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

  14. Uncompressed HDTV-over-IPCurrent Method

  15. Low latency High Definition CollaborationDRAGON 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.

  16. Low Latency Visual Area Networking • Directly share output of visualization systems across high performance networks. • DRAGON allows minimum latency paths.

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