DRAGON Dynamic Resource Allocation via GMPLS Optical Networks

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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)
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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)

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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

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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

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End to End GMPLS TransportWhat is missing?
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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

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VLSR Abstraction
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Application Specific Topology Description
Language - ASTDL
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Heterogeneous Network TechnologiesComplex End to
End Paths
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DRAGON NetworkOptical Transport layer - Year 3

• All Optical Core
• Dynamic Provisioning of Application Topologies

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DRAGON Network Example Topology
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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 (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

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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

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Uncompressed HDTV-over-IPCurrent Method
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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.

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Low Latency Visual Area Networking

• Directly share output of visualization systems
  across high performance networks.
• DRAGON allows minimum latency paths.