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Next Generation Networks and Grids

Next Generation Networks and Grids. Bill St. Arnaud bill.st.arnaud@canarie.ca. CANARIE Inc.- Overview. Federal leadership: Concept born in 1990 out of Industry Canada discussions Founding : Incorporated in 1993 by industry and academia

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Next Generation Networks and Grids

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  1. Next Generation Networks and Grids Bill St. Arnaud bill.st.arnaud@canarie.ca

  2. CANARIE Inc.- Overview • Federal leadership:Concept born in 1990 out of Industry Canada discussions • Founding: Incorporated in 1993 by industry and academia • Funding: From Industry Canada: For networks and research applications from Canadian Heritage, HRDC, Health Canada • Mission: To facilitate development and use of Canada’s advanced communications infrastructure • Primary stakeholders: Government Departments, universities, provincial research networks, broader research community, colleges, carriers, IT sector, SMEs, broader education sector, broader health sector, provinces

  3. Granting Councils Genome Canada NCEs NRCAN DFO NRC CSA Ag-Cda CFI CRC Stats Can DND Canada’s National Research and Innovation Network: Links 200+ Research Organizations 56 international peer networks in Asia (12), Europe (30), and North/South America (14) 40 countries connected Provincial Research Institutes & Universities International Research Institutes CANARIE’s S&T Integration Platform: CA*net 4 CANARIE supports federal and provincial innovation and government science centers across Canada. 10 provincial networks, 10+ provincial institutes 80 universities 50 colleges

  4. Canada as a global network hub • Canada through CA*net 4 is becoming a global hub for international research network connectivity • Countries such as Korea, Japan, Taiwan, Ireland, etc are acquiring wavelengths across CA*net 4 and routing their traffic through Canada • New milestones in scientific collaboration have been achieved

  5. Real time eVLBI data from Huygens/Cassini satellite with be distributed from Australian receiving dishes across Canada’s CA*net 4 to correlators in Netherlands First time demonstration of collection and distribution of satellite eVLBI data using advanced networks Critical for mid-course correction and analyzing descent into Titan atmosphere Understanding Titan’s atmosphere will give insight into our own climate and atmosphere Canada’s role:Huygens probe Titan/Saturn

  6. Grid Canada’s Certification Service • In partnership with NRC, CANARIE operates Canada’s national certificate and authentication service • Canada’s science “passport” to authenticate users for access to remote labs and facilities • Recognized around the world by science labs, grids and facilities • Allows single sign on to multiple resources • One of the largest science certificate authorities in the world with over 1000 users • For more information – www.gridcanada.ca

  7. Enabling US Science Integration:“Cyber-Infrastructure” • To provide an integrated, high-end system of computing, data facilities, connectivity, software, services, and instruments that enables all scientists, engineers and educators to work in new ways on advanced research problems that would not otherwise be solvable … Peter Freeman, National Science Foundation • “[Science is] a series of peaceful interludes punctuated by intellectually violent revolutions . . .[in which] . . . one conceptual world view is replaced by another.” --Thomas Kuhn, from The Structure of Scientific Revolutions • We are in the midst of just such a revolution – Peter Freeman NSF • Proposed budget of $1 billion per year • In addition NASA, DoE, DARPA plan to spend $250m per year in related areas

  8. “i-Infrastructure”:CANARIE’s proposed platform to enable S&T Integration Strategy • i-Infrastructure – “intelligent infrastructure” • CA*net 4 has made Canada a world leader in next generation optical networks • Through intelligent infrastructure we have an opportunity to leverage our leadership in optical networking to help Canada become a world leader in integrative science infrastructure

  9. Canadian i-Infrastructure Projects Neptune Canada eVLBI for GPS SAFORAH Canadian Light Source Canadian Virtual Observatory TRIUMF- ATLAS GEO-ICT Sensor Web Canadian Bio-Informatics Resource

  10. Canadian Forestry Grid • SAFORAH (System of Agents for Forest Observation Research with Automation Hierarchies). • SAFORAH connects five locations across the country to support the monitoring of Canada's forests • Together, all five locations will generate data equaling 40 terabytes (TB) per month • Integrates data from satellites, sensors, chemical, biologic info, etc

  11. Neptune Integrative Science • Plate tectonic processes and earthquake dynamics • Dynamic processes of fluid fluxes and gas hydrates in the sea bed • Regional ocean/climate dynamics and effects on the marine biota • Deep-sea ecosystem dynamics

  12. Purpose of i-Infrastructure • To use common network services architectures to improve ability to access and control instruments, facilities, databases, computers and sensors across the network • To allow remote access to distributed or difficult to reach instruments and facilities • E.g. Undersea sensors, remote telescopes • To facilitate international S&T collaboration relating to large expensive scientific instruments • ….and provide developing world scientists access to Canadian facilities • To reduce waste and duplication by enabling consolidation and shared use of scientific instruments and facilities • E.g. Ottawa U/NRC Nuclear Magnetic Resonance Farm

  13. How it will work • i-Infrastructure uses web services and web services workflow architectures • Includes User Controlled Lightpaths (UCLP) technology developed by CANARIE • Web has been about accessing images, text, video and data • Next generation “web services” makes instruments, databases, sensors, etc an integral part of the web • Web services workflow tools will allow scientists to construct multi-disciplinary scientific orchestrations integrating data from sensors across networks linked to computers and databases

  14. UCLP Objectives • Allow institutions to integrate wavelengths and fiber from different suppliers and integrate with institution's network management domain • And offer VPNs to users • Create discipline specific re-configurable IP networks • Multihomed network which bypasses firewalls with direct connect to servers and routers • User controlled traffic engineering • Active replacement for Sockeye and Route Science • Alternative to MPLS

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

  16. 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

  17. Creation of application VPNs University Dept High Energy Physics Network CERN Commodity Internet Research Network University University Bio-informatics Network University University eVLBI Network

  18. CANARIE provides APN to TRIUMF 1G Interface WS URI: http://canarie_apns/triumf_apn.ws 5G Interface WS 10G Lightpath WS 1G Lightpath WS Toronto Amsterdam Vancouver Edmonton Montreal Ottawa To Fermi Victoria New York Geneva • Note: An incoming lightpath (STS) can be assigned to an outgoing STS or a specific interface • TIUMF UCLP GUI would only see this APN • CANARIE UCLP GUI can this APN or underlying network or other APN To Brookhaven

  19. TRIUMF APN web service(illustrative example) <TRIUMF-APN> <Administrator: Steven MacDonald, ID: 99999> /etc/ /List of Lightpath web services/ <OC48: Victoria-Vancouver> <OC192: Vancouver-Edmonton> <OC192: Edmonton-Toronto> /via winnipeg thunder bay/ <OC192: Toronto-New York> <OC192: New York-Amsterdam> <OC192: Amsterdam-Geneva> /etc/ /List of Interface Web services/ <10Gbe Interface Vancouver> <Gbe Interface Vancouver> <GbE interface Edmonton> <5GbE interface Toronto> <5GbE interface Victoria /etc/ </TRIUMF-APN>

  20. TRIUMF GUI harvests other APNs TRIUMF Tier 1 1G Interface WS UoToronto Physics Tier 2 5G Interface WS UBC Physics UA Physics UoT Physics 10G Lightpath WS External links or APNs UoVictoria Physics Tier 2 UdM Physics TRIUMF APN UoT APN Carleton Physics Toronto Amsterdam Vancouver Edmonton Montreal UoV APN Ottawa Victoria CA*net 4 New York Geneav Chicago FERMI Tier 1 Note: Typical View on TRIUMF UCLP GUI CERN Tier 0 Brookhaven Tier 1

  21. TRIUMF partitions APN and establishes cross connects with 3rd parties APNs TRIUMF Tier 1 UoToronto Physics Tier 2 1G HEPnet daisy chain routed UBC Physics UA Physics UoT Physics 5G Tier 1 data UoVictoria Physics Tier 2 2G Tier 2 data CWDM Carleton Physics CWDM UdM Physics Toronto Amsterdam Vancouver Edmonton Ottawa Victoria CA*net 4 To other physics users at smaller universities New York Geneav Optional interfaces Note: Typical View on TRIUMF UCLP GUI Chicago FERMI Tier 1 CERN Tier 0 Brookhaven Tier 1

  22. CANARIE provides APN to NRC Edmonton Saskatoon Vancouver Winnipeg Ottawa Montreal Regina Victoria Toronto Calgary Fredericton Seattle Chicago New York Halifax CA*net 4 router 2G Lightpath WS GbE interface WS

  23. NRC partitions APN Edmonton Saskatoon Vancouver Winnipeg Ottawa Montreal Regina Victoria Toronto Calgary Fredericton Seattle Chicago New York Halifax

  24. NRC logical view of APN Edmonton Saskatoon Vancouver Winnipeg Ottawa Regina Montreal Victoria Toronto Fredericton Seattle Chicago New York Halifax

  25. CAVEwave acquires a separate wavelength between Seattle and Chicago and wants to manage it as part of its network including add/drop, routing, partition etc NLR Condominium lambda network Original CAVEwave UCLP intended for projects like National LambdaRail

  26. Internet Typical Large system today VPN USER Security Web Services OGSA Process Process Process DMAS Process Process SONET/DWDM Instrument Pod SONET/DWDM Layer 3 switch/router Layer 2 switch Sensor Sensor Instrument Instrument Sensor

  27. CA*net 4 Lightpath CA*net 4 Process WS** Process Service Oriented Architectures WS* VPN HPC WS* USER Process Process Data Management System WS** WS Process Process WS LAN Instrument Pod LAN Web service Interface *CANARIE UCLP **New web services WS* WS* WS Layer 2/3 switch Sensor Sensor Instrument Instrument Sensor

  28. Science user perspective WS* CANARIE UCLP WS AAA process WS HPC Process WS** WS** WS* New Web service WS* Lightpath WS** New development WS* ONS15454 NLR or CA*net 4 USER with WSFL binding software WS** Log Archive Process 2 DMAS WS** Log Archive Process 1 WS* LAN UDDI or WSIL service registry Science Pod WS* LAN Sensor/Instrument WS** User defined WSFL bindings

  29. Features • All hardware (sensors -wireless and wired), software processes (Data processing and HPC) and network elements (ORAN, CA*net 4) expressed as WSDL web services • Web services may be instantiations of orchestrations • Hardware, software and network web services linked together by science user with BPEL • WSDL and BPEL provide for generic and open control plane • Elimination of network made up of layers • Every layer a web service that can communicate with other WS • Hence all “science” processes use network data recursive architectures • Re use and replication of same modules for software, hardware and network for each science project

  30. Taverna Workflow graph

  31. 3 2 4 OMNInet Bandwidth Reservation WS Xconnect WS Xconnect WS Lightpath WS Lightpath WS IP Flow QoS WS 1 5 Neptune/ ORION Instrument WS 4 2 3 LightPathConectionPT BandwidthReservationPT LightPathConectionPT Visualization WS InstrumentNetworkServicePT NeptuneInstrumentServicePT 5 1 Neptune admin orchestration End user orchestration Super user orchestration End to end choreography

  32. VESPERS Beamline at the Canadian Light Source 1. E-gun & Linear Accelerator • microanalysis with unprecedented sensitivity 4. Beamline End Station 3. Storage Ring Courtesy of CLSI

  33. Current CLS Infrastructure

  34. Proposed Infrastructure

  35. Significance of UCLP v2 • Many power plants, water, sewage and process control SCADA (System Control and Data Acquisition) are moving to TCP/IP so that they can integrate process control with other eBusiness systems • But this makes systems more vulnerable to DOS attacks, viruses, etc • Impossible to fully protect with firewalls etc because too many back doors • Need to build “micro” firewalls around each SCADA sub-system with web services and link them together with web services workflow

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