Open Middleware Infrastructure Institute OMII

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Open Middleware Infrastructure Institute (OMII)

• Vision
• To be the national provider of reliable,
  interoperable, open source grid middleware
• Provide one-stop portal and software repository
  for grid middleware
• Provide quality assured software engineering,
  testing, packaging and maintenance for our
  products
• Lead the evolution of Grid middleware through a
  managed programme and wide reaching collaboration
  with industry

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OMII-1Release Oct 2004

• Collection of tested, documented and integrated
  software components for Web Service Grids
• A base built from off-the-shelf Web Services
  technology
• A package of extensions that can be enabled as
  required
• An initial set of Web Services for building
  file-compute collaborative grids
• Technical preview of Web Service version of
  OGSA-DAI database middleware
• Sample applications
• www.omii.ac.uk

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OMII future distributions

• Include the services in previous distributions
• OMII managed programme contributions
• Database service
• Workflow service
• Registry service
• Reliable messaging service
• Notification service
• Interoperability with other grid middleware
• GT4, Condor
• EGEE, TeraGrid

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Digital Curation?

• In next 5 years e-Science projects will produce
  more scientific data than has been collected in
  the whole of human history
• In 20 years can guarantee that the operating and
  spreadsheet program and the hardware used to
  store data will not exist
• Research curation technologies and best practice
• Need to liaise closely with individual research
  communities, data archives and libraries
• Edinburgh with Glasgow, CLRC and UKOLN selected
  as site of DCC

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2.4 Petabytes Today
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Digital Curation Centre

• Actions needed to maintain and utilise digital
  data and research results over entire life-cycle
• For current and future generations of users
• Digital Preservation
• Long-run technological/legal accessibility and
  usability
• Data curation in science
• Maintenance of body of trusted data to represent
  current state of knowledge in area of research
• Research in tools and technologies
• Integration, annotation, provenance, metadata,
  security..

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Grids in Education?

• Exploiting e-Science Grids whose resources can be
  adapted for use in education
• Opportunity to make education more real and to
  give students an idea what scientific research is
  like
• Support the teachers and learners with Community
  Grids
• Heterogeneous community with teachers, learners,
  parents, employers, publishers, informal
  education, university staff .
• Education Grid as a Grid of Grids?

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Education as a Grid of Grids
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climateprediction.net
A sophisticated scientific experiment, making use
of the power of distributed computing

• To produce the most complete probability-based
  forecast for the climate of the 21st
• Century attempted to date

• To improve our understanding of current
  state-of-the-art climate models

• To engage the public in the climate change debate
  and to improve public understanding of the nature
  of uncertainty in climate prediction

climateprediction.net should give policy makers a
better scientific basis for addressing one of the
biggest potential global problems of the 21st
century.
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Achievements
Since September 2003 61,000 registered
participants in 130 countries have Donated
5,000 years of computer time Completed 33,000
experiments
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Results so Far the first steps towards a fully
probability-based forecast
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Some Industry Perspectives on Grids

• An SAP view
• BAESystems and Virtual Organisations
• The Burger Model from T-Systems

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Business Software Architecture A View from SAP
CreateCustomer value
Combine Best practices and next practices
Confluence of new technologiesinto one platform
CostOptimizing IT resources
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Naturally Distributed Processing
Buyer
Vendor
ERP System
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BAEgrid deployment of virtual organisations

• VO needs better definition to support asymmetric
  operation.
• VO lifecycle tools are required.

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BAESystems focus on trust and security

• Grids are an information architecture for
  networked organisations
• Connectivity is not collaboration
• Moving from a rigid Internet-based
• e-Business mode to VOs requires
• Breaching of organisational boundaries
• Deep interoperability
• Maintenance of separation and control

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A T-Systems Perspective Assume complete
virtualization of any IT resource
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Burger Model
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Conclusions

• e-Science has the potential to transform the way
  universities and industry pursue research
• Scientific Grid middleware will enable
  significant business applications and
  opportunities for innovation
• Commercial distributed middleware will be built
  from Web Services in the future

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e-Government and the Grid

• The Grid intends to make access to computing
  power, scientific data repositories and
  experimental facilities as easy as the Web makes
  access to information.
• Tony Blair, 2002

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Acknowledgements

• With special thanks to Jim Austin, Peter
  Burnhill, Geoffrey Fox, Jeremy Frey, David
  Gavaghan, Carole Goble, Sharon Lloyd, Liz Lyon,
  Alan Rector, Hannah Tipney and Anne Trefethen