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Cloud Lessons Learned: Case Studies -- Mark Roman, CANARIE
 

Cloud Lessons Learned: Case Studies -- Mark Roman, CANARIE

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Presentation by Mark Roman, (former) President and CEO, CANARIE, during the Cybera Summit 2011 session, "Cloud Lessons Learned: Case Studies".

Presentation by Mark Roman, (former) President and CEO, CANARIE, during the Cybera Summit 2011 session, "Cloud Lessons Learned: Case Studies".

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    Cloud Lessons Learned: Case Studies -- Mark Roman, CANARIE Cloud Lessons Learned: Case Studies -- Mark Roman, CANARIE Presentation Transcript

    • What’s Happening to ICT in Canada?ICT: Information and Communications Technology ICT VC Invesments45004000 2001350030002500200015001000500 0 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
    • CANARIE’s DAIR Program DAIR – the Digital Accelerator for Innovation and Research Program is: -  an advanced, shared R & D environment for digital innovators and entrepreneurs to design, prototype, validate, and demonstrate new applications, products and services -  a dedicated portion of the CANARIE high-speed, high-capacity fibre optic network, plus macro cellular, WiFi and compute and storage resources – offered at no charge during pilot phase: May 2011 – March 2012 -  an opportunity to address a competitive disadvantage for small and medium- sized companies that would otherwise have to spend scarce resources on this kind of R & D infrastructure
    • Macro Wireless Wi-Fi, Wire Wi-Fi, Wire line Access line Access University Provincial University networks Compute Compute Node Node uAlberta uSherbrooke InternetSmall/ Small/Medium MediumEnterprise Enterprise
    • Who Will Benefit from DAIR?§  Small and Medium Enterprises §  During pilot and full-roll out §  ICT Research Community §  During full roll-out§  Multinational Enterprises §  During full roll-out
    • Results to Date•  Users from across Canada, with participation from 8 provinces. Users are: v Not on the cloud: •  Using DAIR to augment their own physical compute nodes but using resources not too differently than today. •  Will eventually experiment with how they can leverage cloud computing as they become familiar. v Looking to the cloud: •  Experiments are primarily with scaling for customer demand. v Already using the cloud: •  Either expanding their tests OR •  Transferring existing cloud compute resources on to DAIR.
    • DAIR - Uses•  The companies participating come from a variety of IT (and non-traditional IT) sectors including: Gaming Video Social Media Simulations Security Mass Messaging Insurance Building Construction Mobile Development Platforms Cloud Computing Geo-navigation And more...
    • Feedback•  Extremely positive feedback from users: “DAIR works very well for us. It is faster than our machines, allows us to run more experiments, it is reliable and we havent had any issues with it.” “Great system.” “We are starting to do some user testing using your cloud...things continue to go well.”
    • Economic Basis for CANARIE Private sector will not By collecting all demand Equality of network step in, as there is no across the Canada’s across Canada enables profitable business case research environment all regions to access given the significantly we create economies of research services different characteristics scale and scope to everywhere and of R&E networks leverage and deliver a complements successfulCANARIE addresses a market gap CANARIE aggregates demand CANARIE facilitates regional parity Private sector carriers cost-efficient digital federal-provincial are supportive of infrastructure resource collaboration CANARIE as a public good to advance research CANARIE purchases leading edge technology from the private sector, but does not compete with industry
    • Shared Service Provider Varying  degrees  of   centralizaDon/ decentralizaDon  What  can  CANARIE  do  to  lower  costs  on   Different  mandates   (operaDons,  customer   University  IT  support   service,  innovaDon,  etc.)   structures  are  like   campus?   snowflakes   Different  funding  models   (naDonal,  provincial,  local)   The  key  technology  they  all   share  is  the  network   Variable  emphasis  (admin,   teaching,  research)   SHARED NETWORK SERVICE
    • Research growth “Discovering”   compuDng   HumaniDes  and   social  sciences   Four  drivers  of  core  network  demand   Graphics,  video,   etc.   3D  imaging   Medical  and  health   sciences   Real  Dme   diagnosDcs   TradiDonal  sciences   ExponenDal  data   and  engineering   volume  growth   Backup,  restore   Data  management   Archive,  protect   GROWING DEMAND
    • Research computing growth Why  run  HPC  compuDng   RaDonalize  HPC  from  27  Broadened  demand  for  research   on  campus?   to    less  data  centres   The  cloud  is  not  in  Canada   compuDng   ProtecDon  of  Privacy,   If  80%  of  research   naDonal  compeDDveness   compuDng  is  non-­‐HPC   issues   In  both  environments,  the   Build  Canadian  cloud   network  makes  it  happen   services  
    • Grow Canadian Access Federation EduRoam   Core  funcDons   NaDonal  interest  in  CAF   Shibboleth   Expand  to  full   community,  not  simply   UniversiDes   Leverage   Passive  EduRoam   Shibbolized  NEP  projects   FEDERATED ACCESS
    • Canada,  the  world’s  data  centre Vast  renewable  hydro-­‐ electric  power   How  do  we  a`ract  commercializaDon  to   Cooling  is  cheaper  the   farther  north  you  go   What  is  unique  about   Canada?   Canada?   GreenStar  network   innovaDons  via  follow  the   wind,  follow  the  sun   Manufacturing  is  the  new   agriculture.   CANARIE  backbone   DATA CENTRE OPPORTUNITIES
    • DAIR  to  compare  … Cybera   What  have  we  done  in  the  cloud  so   uAlberta   Working  together  on   DAIR   uSherbrooke   far?   CANARIE   ExperienDal  learning   23  SMEs  and  growing   from  DAIR  pilot   CLOUD EXPERIENCE
    • A cloudy future … FEDERATED ACCESS GROWING DATA CENTRE DEMAND OPPORTUNITIES SHARED VIABLE CLOUD NETWORK SERVICE BUSINESS EXPERIENCE MODEL