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Networks, Grids and Service Oriented Architectures eInfrastructures Workshop.

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Presentation on theme: "Networks, Grids and Service Oriented Architectures eInfrastructures Workshop."— Presentation transcript:

1 Networks, Grids and Service Oriented Architectures Bill.st.Arnaud@canarie.ca eInfrastructures Workshop

2 The first Grid >Original Internet - NSFnet was intended to connect 6 supercomputer sites >But the network evolved into something completely different and more powerful than its original application to connect 6 supercomputer >Grid technology may be going through the same evolution >Its real power and application may go way behind connecting clusters and HPC sites

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4 Taiwan Ireland GigaPOP STAR LIGHT CA*net 4 User controlled topology Seattle Taiwan Taiwan control switch directly using UCLP software NYC Ireland

5 CA*net 4 Update >World’s First customer controlled and managed network >Taiwan and Ireland first to provide in the world to provide direct user controlled layer 1 connectivity between Asia and Europe >Uses Grid technology – Globus Toolkit 3 >Korea about to sign – many others in negotiation

6 UCLP Objectives >No central management >Uses state-full web services with SOA using Globus Toolkit 3.0 >Partitions optical switches into domains that can be managed and controlled by end users >Create discipline or application specific re-configurable IP networks to support grids

7 Applications >Distributed back planes between HPC Grid centers – Westgrid 1 GbE moving to 10 GbE – SHARCnet 10 GbE >Distributed Single Mount file systems – Yotta, Yotta - SGI – Needs very consistent performance and throughput to truly act as a back plane – Frequent topology changes to meet needs of specific applications >Canada ATLAS – 980 Gbytes FCAL data once a month from CERN to Carleton U, UoAlberta, UoArizona, etc – Will significantly increase to Terabytes when production runs start – Would take over 80 days on IP R&E network

8 >CERN Low level trigger data to UoAlberta with GARDEN – Initially streaming data rates 1 Gbps moving to 10Gbps later in the year >Canadian virtual observatory –.5 Tbyte per day to UoToronto and UoHawaii – 250 Mbps continuous streaming from CCD devices >Neptune – Canada (and US?) under sea laboratory – multiple HDTV cameras and sensors on sea floor >Canada Light Source Synchrotron – remote streaming of data acquisition to UoAlberta – 2 to 5 Gbps continuously >Canadian remote Nano and micro electronics laboratories >Canadian military instruction to Czech republic Applications- 2

9 i-Infrastructure >CANARIE’s proposed program for Canadian science and industry >The computer is no longer the network >Everything is the network >To adapt service oriented architecture (SOA) using state-full web services to integrate sensors and instruments into the network >Building and extending upon our original work in UCLP >Major applications after science are process control industry and military applications

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

11 Network recursive architecture with web service work flow bindings Sensor Instrument Sensor Layer 2/3 switch LAN Data Management System CA*net 4 VPN USER Instrument Pod WS* WS CA*net 4 Lightpath Process WS** WS* Process WS** WS* Process WS Web service Interface *CANARIE UCLP **New web services HPC

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

13 Features >All hardware (sensors -wireless and wired), software processes (Data processing and HPC) and network elements exposed as state-full web services >Hardware, software and network web services linked together by science user with WSFL user defined late state binding – Some web services may be expressed as abstractions of groupings of other web services >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


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