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Service Oriented Architectures for R&E networks “Network Mashups”

Service Oriented Architectures for R&E networks “Network Mashups”. Bill St. Arnaud CANARIE Inc – www.canarie.ca Bill.st.arnaud@canarie.ca. Impact of e-Science and Grids on Networks. E-science and grid application have bandwidth needs far exceed that of production IP networks

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Service Oriented Architectures for R&E networks “Network Mashups”

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  1. Service Oriented Architectures for R&E networks“Network Mashups” Bill St. Arnaud CANARIE Inc – www.canarie.ca Bill.st.arnaud@canarie.ca

  2. Impact of e-Science and Grids on Networks • E-science and grid application have bandwidth needs far exceed that of production IP networks • Most entail global collaboration and linkages • Canadian astronomy – 100 Terabytes per month • TRIUMF High energy physics – 5 Gbps continuous to CERN • Canada Light Source synchrotron – 1 to 2 Gbps per beam line • Ultra video conferencing McGill – 3.5 Gbps • Hyugens-Cassini eVLBI – 1Gbps • Merlin UK eVLBI – 320 GBps

  3. CA*net 4 Network New 72 channel ROADM 5 x 10 Gbps

  4. Regional Today’s hierarchical IP network Other national networks National or Pan-Nationl IP Network NREN A NREN C NREN B NREN D University

  5. Regional Tomorrow’s peer to peer IP network World World National DWDM Network World Child Lightpaths NREN B NREN A NREN C NREN D Child Lightpaths University Server

  6. See next slide for more details Common DWDM substrate University Dept High Energy Physics Network CERN Commodity Internet Research Network University University Bio-informatics Network University University eVLBI Network Lab Creation of application VPNs

  7. Campus DWDM University Global Physics Network Internet Physics Department NREN Main campus Network Health Network Border Router Firewall Global eVLBI Network University Hospital Radio Telescope Campus view

  8. Multi-domain Multi-Domain APN Partitioned Node Pass Through Node Multi-Domain APN Domain A Domain B Domain C

  9. The big picture Integrative Science E-Science or E-Research Cyber-infrastructure SOA: (web services, workflow, security, etc) Networks Grids HPC Instruments Databases

  10. Picture ofearthquakeand bridge Sensors More Diversity, New Devices, New Applications Personalized Medicine Picture ofdigital sky Wireless networks Knowledge from Data Instruments Source: Larry Smarr??

  11. Conclusions • SOA & Cyber-Infrastructure will fundamentally transform science and IT • Better get prepared and learn as much as possible and learn about CI and SOA • Web services • Resource discovery and consumption • Publishing services • Workflow and orchestration • SOA platforms – OGSA, .NET,. Websphere • Commercialization potentials of integrative science and CI are significantly greater than with traditional science

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