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18 May 2011




                        TNC2011
                   Terena Prague


Dr Malcolm Read
JISC Executive Secretary
Chair of e-infraNet Steering Committee

                                          18/05/2011 | Slide 1
Current Picture


Usage
 Mostly SaaS to date: e-Mail, followed by storage, web services
  and virtual learning environments. Some use of other levels of
  stack
Reason for uptake
 Provision of a better service, followed by a reduction in costs,
  better collaboration and a reduction of hardware overheads as
  part of a green IT strategy
Barriers to uptake
 Jurisdiction issues, uptime of services, security of services, lock-
  in and the strength of service level agreements
 Real costs of research computing currently hidden from most
  users so Cloud can look expensive
                                                             18/05/2011 | Slide 2
Which bit of the Cloud?


Every level of the ‘stack’ is catered for – which is right for you?
 Software as a Service (SaaS)




                                                                                    Diagram credit: www.saasblogs.com
    – eg, Google Apps, Microsoft 365
 Platform as a Service (PaaS)
    – eg, MS Azure, Google App Engine
 Infrastructure as a Service (IaaS)
    – ie, compute, storage, database
    – eg, Amazon Web Services, Vmware
      vCloud, Eucalyptus

 Do we need to add in Middleware as a Service (MaaS)
    – Offerings like Cassandra or Amazon Elastic Map Reduce
                                                              18/052011 | Slide 3
Why Invest in Cloud Computing?


 Efficient, cost effective infrastructure
    – provides access to industrial scale economies in deployment and
      use of infrastructure and applications
    – leads to financial benefits and in turn carbon and other
      environmental benefits
 Potential to cope with sudden peak demands for increased
  storage and compute requirements
 Provides a suitable ‘neutral platform’ for HEI / business
  collaboration.
 Lowers barriers to participation in high end computing – “e-
  Science for the Masses”


                                                                 05/07/2011 | Slide 4
Financial Cost


Large data centres can use economies of scale to be
significantly cheaper and can be flexible in delivering layers
of a standardised, modularised service
 Particularly attractive to smaller institutions without the capital
  budget for wholesale rip and replace that are able to secure
  access to upgraded infrastructure which they could not
  otherwise afford
 NB Requires changes in culture – specifically expectations of
  ‘fine-tuning’ of services to meet specific requirements
 For example, the European Space Agency is utilizing Amazon
  EC2 for the data-processing needs of its Gaia mission. The
  40Gb per night that Gaia will generate would have cost $1.5
  million using local resources but research suggests it could
  cost in the $500,000 range using EC2
                                                              05/07/2011 | Slide 5
Capacity


Having more storage and compute available on demand is
very useful for dealing with sudden peak usage and projects
that on occasion need to crunch larger data
 Examples
   – Flood simulation at Newcastle University
   – Machine Learning Group at the University of Cambridge used
     Amazon’s Elastic Map Reduce to process data sets that would
     have taken weeks to do locally
   – ApatMEMS-ID developing means of distinguishing different
     strains of MSRA. Cloud is used as “cloudburst” to supplement
     local Condor grid




                                                            05/07/2011 | Slide 6
Collaboration


Using Cloud can make it easier to collaborate with
businesses
 For instance, if a spin-off company should come out of a
  project that uses web resources it may be easier to hand over
  control to something run on a virtual machine
 Similarly, for partnerships with industry using an external cloud
  provider can make it easier to collaborate as both HEIs and
  industry often restrict external access to their systems
 Services like e-Science Central1, a ‘Science-as-a-Service’
  platform that combines Software-as-a-Service, social
  networking, and “cloud” computing remove the need to
  maintain one’s own systems whilst still offering control over
  what, when and with whom to share data
1   www.esciencecentral.co.uk
                                                           05/07/2011 | Slide 7
What should we look to use the Cloud for?


 Good candidate scenarios for Cloud deployment that JISC has
  identified include those with one or more of the following
  characteristics:
   – Short timescale requirements
   – Infrequent use and/or no desire to maintain infrastructure
   – Dynamic scalability to larger capacity (‘cloudbursting’)
   – Transfer to commercial use
   – Flexibility with system configuration and/or frozen system
     configuration
   – Data hosting and backup
   – Cloud-based research publications
   – Ad hoc activities in support of research
                                                                  05/07/2011 | Slide 8
Why build a private Cloud?


The key word here is trust. Researchers and HE staff need to
be able to trust the reliability and integrity of the cloud they
use as well as sustainability of data and overall reliability
 There are four critical enabling factors of Cloud Computing:
    – virtualisation and automation
    – pay per user software
    – data centres
    – broadband connectivity
 There's no reason though why the research and HE Cloud
  can't be built from commercial components
 However the Cloud itself and the HEI’s connections to it must
  be as safe and reliable as the physical IT hardware it is
  replacing otherwise the benefits are meaningless          05/07/2011 | Slide 9
Role for NRENs




 NRENs are obvious candidates for brokering and delivering
  private cloud services, exploiting their procurement and service
  delivery expertise.


 Security (e.g. access management) is also usually managed by the
  NREN.




                                                           05/07/2011 | Slide 10
Federation of NRECs?




 If and when countries build National Research and Education
  (private) Clouds there is value in exploiting economies of scale at
  the European level.


 Clear parallel with NRENs and GEANT




                                                            05/07/2011 | Slide 11
Relevant UK studies


 Using Cloud Computing for Research1 study


 Report from workshop on Cloud Computing2


 Currently 11 pilot projects funded by JISC and EPSRC3



1 www.jisc.ac.uk/whatwedo/programmes/researchinfrastructure/usingcloudcomp.aspx

2 www.rcuk.ac.uk/documents/research/esci/CloudWorkshopJuly2010.pdf

3 cloudresearch.jiscinvolve.org




                                                                     05/07/2011 | Slide 12

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Cloud computing - Terena 2011

  • 1. 18 May 2011 TNC2011 Terena Prague Dr Malcolm Read JISC Executive Secretary Chair of e-infraNet Steering Committee 18/05/2011 | Slide 1
  • 2. Current Picture Usage  Mostly SaaS to date: e-Mail, followed by storage, web services and virtual learning environments. Some use of other levels of stack Reason for uptake  Provision of a better service, followed by a reduction in costs, better collaboration and a reduction of hardware overheads as part of a green IT strategy Barriers to uptake  Jurisdiction issues, uptime of services, security of services, lock- in and the strength of service level agreements  Real costs of research computing currently hidden from most users so Cloud can look expensive 18/05/2011 | Slide 2
  • 3. Which bit of the Cloud? Every level of the ‘stack’ is catered for – which is right for you?  Software as a Service (SaaS) Diagram credit: www.saasblogs.com – eg, Google Apps, Microsoft 365  Platform as a Service (PaaS) – eg, MS Azure, Google App Engine  Infrastructure as a Service (IaaS) – ie, compute, storage, database – eg, Amazon Web Services, Vmware vCloud, Eucalyptus  Do we need to add in Middleware as a Service (MaaS) – Offerings like Cassandra or Amazon Elastic Map Reduce 18/052011 | Slide 3
  • 4. Why Invest in Cloud Computing?  Efficient, cost effective infrastructure – provides access to industrial scale economies in deployment and use of infrastructure and applications – leads to financial benefits and in turn carbon and other environmental benefits  Potential to cope with sudden peak demands for increased storage and compute requirements  Provides a suitable ‘neutral platform’ for HEI / business collaboration.  Lowers barriers to participation in high end computing – “e- Science for the Masses” 05/07/2011 | Slide 4
  • 5. Financial Cost Large data centres can use economies of scale to be significantly cheaper and can be flexible in delivering layers of a standardised, modularised service  Particularly attractive to smaller institutions without the capital budget for wholesale rip and replace that are able to secure access to upgraded infrastructure which they could not otherwise afford  NB Requires changes in culture – specifically expectations of ‘fine-tuning’ of services to meet specific requirements  For example, the European Space Agency is utilizing Amazon EC2 for the data-processing needs of its Gaia mission. The 40Gb per night that Gaia will generate would have cost $1.5 million using local resources but research suggests it could cost in the $500,000 range using EC2 05/07/2011 | Slide 5
  • 6. Capacity Having more storage and compute available on demand is very useful for dealing with sudden peak usage and projects that on occasion need to crunch larger data  Examples – Flood simulation at Newcastle University – Machine Learning Group at the University of Cambridge used Amazon’s Elastic Map Reduce to process data sets that would have taken weeks to do locally – ApatMEMS-ID developing means of distinguishing different strains of MSRA. Cloud is used as “cloudburst” to supplement local Condor grid 05/07/2011 | Slide 6
  • 7. Collaboration Using Cloud can make it easier to collaborate with businesses  For instance, if a spin-off company should come out of a project that uses web resources it may be easier to hand over control to something run on a virtual machine  Similarly, for partnerships with industry using an external cloud provider can make it easier to collaborate as both HEIs and industry often restrict external access to their systems  Services like e-Science Central1, a ‘Science-as-a-Service’ platform that combines Software-as-a-Service, social networking, and “cloud” computing remove the need to maintain one’s own systems whilst still offering control over what, when and with whom to share data 1 www.esciencecentral.co.uk 05/07/2011 | Slide 7
  • 8. What should we look to use the Cloud for?  Good candidate scenarios for Cloud deployment that JISC has identified include those with one or more of the following characteristics: – Short timescale requirements – Infrequent use and/or no desire to maintain infrastructure – Dynamic scalability to larger capacity (‘cloudbursting’) – Transfer to commercial use – Flexibility with system configuration and/or frozen system configuration – Data hosting and backup – Cloud-based research publications – Ad hoc activities in support of research 05/07/2011 | Slide 8
  • 9. Why build a private Cloud? The key word here is trust. Researchers and HE staff need to be able to trust the reliability and integrity of the cloud they use as well as sustainability of data and overall reliability  There are four critical enabling factors of Cloud Computing: – virtualisation and automation – pay per user software – data centres – broadband connectivity  There's no reason though why the research and HE Cloud can't be built from commercial components  However the Cloud itself and the HEI’s connections to it must be as safe and reliable as the physical IT hardware it is replacing otherwise the benefits are meaningless 05/07/2011 | Slide 9
  • 10. Role for NRENs  NRENs are obvious candidates for brokering and delivering private cloud services, exploiting their procurement and service delivery expertise.  Security (e.g. access management) is also usually managed by the NREN. 05/07/2011 | Slide 10
  • 11. Federation of NRECs?  If and when countries build National Research and Education (private) Clouds there is value in exploiting economies of scale at the European level.  Clear parallel with NRENs and GEANT 05/07/2011 | Slide 11
  • 12. Relevant UK studies  Using Cloud Computing for Research1 study  Report from workshop on Cloud Computing2  Currently 11 pilot projects funded by JISC and EPSRC3 1 www.jisc.ac.uk/whatwedo/programmes/researchinfrastructure/usingcloudcomp.aspx 2 www.rcuk.ac.uk/documents/research/esci/CloudWorkshopJuly2010.pdf 3 cloudresearch.jiscinvolve.org 05/07/2011 | Slide 12