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An NSERC Research Network David V. Plant Scientific Director McGill University & Gregor v. Bochmann Theme Leader University of Ottawa 9-04-2003.

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Presentation on theme: "An NSERC Research Network David V. Plant Scientific Director McGill University & Gregor v. Bochmann Theme Leader University of Ottawa 9-04-2003."— Presentation transcript:

1 An NSERC Research Network David V. Plant Scientific Director McGill University & Gregor v. Bochmann Theme Leader University of Ottawa 9-04-2003

2 2 AAPN Professors McGill: Lawrence Chen, Mark Coats, Andrew Kirk, Lorne Mason, David Plant (Theme #2 Lead), and Richard Vickers U. of Ottawa: Xiaoyi Bao, Gregor Bochmann (Theme #1 Lead), Trevor Hall, and Oliver Yang U. of Toronto: Stewart Aitchison and Ted Sargent McMaster: Wei-Ping Huang Queens: John Cartledge (Theme #3 Lead)

3 3 AAPN Partners Université d’Otttawa University of Ottawa

4 4 Program Details Funding: Natural Sciences and Engineering Research Council (NSERC) funded program with contributions from industrial and government partners. Amount: $7 million (CND) from NSERC for the direct costs of research Duration: January 1, 2003 – December 31, 2008

5 5 AAPN Research Network Vision Connectivity “at the end of the street” to a dynamically reconfigurable photonic network that supports high bandwidth telecommunication services.

6 6 Starting Assumptions Network design seeks to avoid wavelength conversion. Technologies that are unavailable in a practical form: –Optical memory –Optical packet header recognition and replacement No distinction between long-haul and metro networks. Current state of the art for data rates, channel spacing, and optical bandwidth.

7 7 Starting Assumptions Cont. Simplified topology based on overlaid stars. Edge based control in small/medium size edge nodes. Fast optical space switching (<1  sec). Fast compensation for transmission impairments (<1  sec). Slotted Time Division Multiplexing (TDM) or optical bursts.

8 8 Edge node with slotted transmission (Gb/s min. capacity) Optical/electronic interface Fast photonic core switch -Provisions sub-multiples of a wavelength -Large number of edge nodes Agile All-Photonic Network

9 9 Research Network Structure Theme 1: Architectures and Networks 1.1 Network architectures 1.2 Network traffic engineering Theme 2: Enabling technologies 2.1 Transmission and amplification 2.2 Optical switching, routing and control Theme 3: System integration

10 10 Proj. 1.1 Architectures and Networks Goal: Develop topologies that move the photonic edge closer to the end user and support a large number of small edge nodes: Overlaid star architectures Generate models representing different demographic distributions Goal: Design core switch architectures that supports optical TDM: Wavelength-layered switch Respect limitations of underlying technologies including insertion loss, switching time, and cross-talk Jointly consider scalability, reconfigurability and modularity for both network topologies and switch architectures

11 11 Proj. 1.2 Network Traffic Engineering Goal: Develop methods for dynamic allocation of total network bandwidth as amount of traffic traversing edge-to-edge connections varies: Sub-dividing the bandwidth of individual wavelengths: –Slotted Time Division Multiplexing (TDM) –Optical Burst Switching (OBS) Move routing and scheduling to the edge switches

12 12 Proj. 1.2 Cont. Goal: Derive protocols that address the challenges of distributed, edge-based control: Utilizing unobtrusive measurement techniques to extract detailed information about network state Assess trade-off between measurement/ control overhead and improved efficiency, when compared with existing protocols Perform predictive bandwidth assignment

13 13 Uniqueness Only long term program in Canada that combines architectures, networks, and enabling technology research. One of only a handful of related international programs. Collaborative research with emphasis on industrial relevance. –Financially supported by 11 industrial and government organizations that collectively conduct optical networks and components research. Unique combination of analytic/emulation and experimental research.


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