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Cloud Services for Repositories


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A presentation by Alex Wade of Microsoft at the Repositories and the Cloud meeting organised by Eduserv and JISC in London on Feb 23 2010.

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Cloud Services for Repositories

  1. 1. Cloud Services for Repositories <br />Alex D Wade<br />Director – Scholarly Communication<br />Microsoft Research<br />
  2. 2. Data/information is inter-connected through machine-interpretable information (e.g. paper X is about star Y)<br />Social networks are a special case of ‘data meshes’<br />A knowledge ecosystem: <br />A richer authoring experience<br />An ecosystem of services<br />Semantic storage <br />Open, Collaborative,Interoperable, and Automatic<br />Moving to a world where all data is linked …<br />Attribution: Chris Bizer<br />
  3. 3. … and can be stored/analyzed in the Cloud<br />visualization and analysis services<br />Vision of Future Research<br />e-Infrastructure using<br />Client + Cloud resources<br />scholarly communications<br />domain-specific services<br />search<br />books<br />citations<br />blogs &social networking<br />Reference management<br />instant messaging<br />identity<br />mail<br />Project management<br />notification<br />document store<br />storage/data services<br />knowledge management<br />The Microsoft Technical Computing mission to reduce time to scientific insights is exemplified by the June 13, 2007 release of a set of four free software tools designed to advance AIDS vaccine research. The code for the tools is available now via CodePlex, an online portal created by Microsoft in 2006 to foster collaborative software development projects and host shared source code. Microsoft researchers hope that the tools will help the worldwide scientific community take new strides toward an AIDS vaccine. See more. <br />compute<br />services<br />virtualization<br />knowledge discovery<br />
  4. 4. A “Smart” Cyberinfrastructure for Research” <br /><br />
  5. 5. This has happened before…<br />
  6. 6.
  7. 7. <ul><li>Utility computing [infrastructure/IaaS] </li></ul>Provide a data center and a way to host client VMs and data.<br />Developers, not end-users, are the target of this kind of cloud computing. <br /><ul><li>Platform as a Service [platform/PaaS] </li></ul>Provide a programming environment to build a cloud application <br />The cloud deploys and manages the app for the client<br /><ul><li>End-user applications [software/SaaS] </li></ul>Delivery of software from the cloud to the desktop<br />Any web application is a cloud application in the sense that it resides in the cloud. Google, Amazon, Facebook, twitter, flickr, and virtually every other Web 2.0 application is a cloud application in this sense.<br />Types of Cloud Computing <br />From: Tim O'Reilly, O'Reilly Radar (10/26/08)—”Web 2.0 and Cloud Computing”<br />
  8. 8. Cloud Services<br />On-Premises<br />Visual Studio & .NET<br />“Oslo” - Modeling<br />Partners<br />
  9. 9. Microsoft Research Cloud Services Scenarios<br />Enhance<br />Migrate<br />Create<br /><ul><li>Extend existing on-premises applications via selective use of services
  10. 10. Typical scenario is focused on data
  11. 11. Distribute some existing workloads to the cloud
  12. 12. Typical scenario involves deploying code to cloud infrastructure
  13. 13. Create new scenarios by composing from multiple services & integrating on-premises assets</li></li></ul><li>Zentity Cloud Storage<br />Enhance<br />Deployment option for having content storage in the cloud<br />
  14. 14. Collaboration (RIC in the Cloud)<br />Migrate<br />Research Information Centre<br />Business Productivity Online Suite<br />
  15. 15. RIC  Repository<br />Simple “Publish to Repository” action from project sites<br />Papers<br />Presentations<br />Workflows<br />Datasets<br />Images<br />Videos<br />etc.<br />send to <br />object<br />
  16. 16. Cloud Services for Repositories <br />Create<br />Azure as a Research Platform<br />Data Services<br />Data Curation<br />Excel Data Services & REST<br />Integration with RIC<br />OGDISDK<br />Indexing and Data Mining<br />Academic Search<br />EntityCube<br />
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  18. 18. Excel & Excel Services<br />Interactive PivotTables<br />Dashboards and heat maps<br />Data Slicers<br />REST APIs<br />
  19. 19. OGDI SDK - (<br />
  20. 20. Microsoft Academic Search<br /><br />
  21. 21. EntityCube<br /><br />
  22. 22. EntityCube<br />
  23. 23. EntityCube<br />
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  26. 26. Free PDF DownloadAmazon Kindle version; Paperback print on demand<br /><br />“The impact of Jim Gray’s thinking is continuing to get people to think in a new way about how data and software are redefining what it means to do science." <br />— Bill Gates, Chairman, Microsoft Corporation<br />“One of the greatest challenges for 21st-century science is how we respond to this new era of data-intensive science. This is recognized as a new paradigm beyond experimental and theoretical research and computer simulations of natural phenomena—one that requires new tools, techniques, and ways of working.” <br />— Douglas Kell, University of Manchester<br />“The contributing authors in this volume have done an extraordinary job of helping to refine an understanding of this new paradigm from a variety of disciplinary perspectives.” <br />— Gordon Bell, Microsoft Research<br />
  27. 27. Thanks!<br />Alex D Wade<br /><br />