Jisc11 Cloud Solutions Paul Watson


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  • MotivationBackground in R&D projects at Ncl: NEReSC and DE project £30M+Mostly in collab with industryWork for OneNENeed systems that allow them to deploy software that can be used within their org to do their work faster/better/cheaper, or to provide a service to external customers.Lack of of IT knowledge and resources holding back: researchers, people in existing SMEs, and people wanting to start companies.Can cloud help?Provide resources : avoid need to purchase, configure & manage IT resources “do more for less”Problem is getting their software running in the cloud.Can see how others are using sw that’s out there, but don’t have the skills to deploy, integrate and manage it.Have some software running on someone’s desktop PC,-- Soln: read about AWS and put your sw in a vm and that’s it beyond many, but for it to be useful, it needs to be deployed in the cloud such that it can be used internally or externally – scalability, dependability, securityClouds don’t make it easier to build scalable, dependable, secure appsSo still a barrier
  • Design-- note addition of services for metadata and provenance/audit-- add storage files + databasesTwo interfaces-- running for a couple of years: over 200 reg users, and a commercial version used by some companiesCan run on own/organisations own servers (private cloud) or public cloud (Amazon/Azure). - Another advantage of cloud platform: insulates user from differences in clouds: lack of stdapi.. Real danger of lock-in.
  • Jisc11 Cloud Solutions Paul Watson

    1. 1. e-Science Central: A Cloud Platform for Research and Teaching<br />Paul Watson<br />School of Computing Science<br />Director, Informatics Institute<br />Newcastle University, UK<br />Paul.Watson@ncl.ac.uk<br />With thanks to:<br />- The team: Hugo Hiden, Simon Woodman, David Leahy, Jacek Cala, Joanna Berry<br />- Funders: RCUK Digital Economy, EPSRC, OneNE, Microsoft External Research, <br /> Newcastle Science City<br />
    2. 2. Motivation<br />Background in multidisciplinary research <br />30 projects (£30M in research funding)<br />NE Regional e-Science Centre & SiDE Digital Economy Hub<br />collaborative (universities and industry)<br />Often working with researchers with little access to IT skills & resources<br />Can Clouds help?<br />
    3. 3. Clouds are built on Data Centers<br />(acknowledgements to Dennis Gannon, Microsoft)<br /><ul><li>Economies of scale
    4. 4. Approximate costs for a small size center (1000 servers) and a larger, 100K server center.</li></ul>Each data center is <br />11.5 times <br />the size of a football field<br />
    5. 5. Typical Prices<br />CPU $0.10 /hour<br />Storage $0.10 /GB month<br />External Data Transfer $0.10 /GB<br />
    6. 6. The Promise of Clouds<br />Reduce IT capital expenditure<br />“CapExOpEx”<br />Sustainability<br />Scalability….<br />
    7. 7. Good Workload Patterns for Clouds(with acknowledgements to Dianne O’Brien)<br />Compute<br />Compute<br />Time<br />Time<br />Bursting<br />Fast Growth<br />Research<br />new data to be processed<br />new algorithm to run<br />Teaching<br />term-based usage<br />application/data with growing popularity<br />
    8. 8. The Problem with Clouds<br />Building scalable,<br />reliable, secure systems on cloud<br />infrastructure is still hard<br /><ul><li>high level IT skills
    9. 9. bespoke
    10. 10. on-going management costs
    11. 11. lock-in</li></ul>Realising cloud advantages is<br />beyond most who could benefit<br />App 1<br />App n<br />....<br />Cloud Infrastructure:<br />Storage & Compute<br />
    12. 12. e-Science Central Approach<br /><br />App 1<br />App n<br />....<br />Cloud Platform<br />App 1<br />App n<br />....<br />Cloud Infrastructure: Storage & Compute<br />Cloud Infrastructure:<br />Storage & Compute<br />
    13. 13. Key Requirements<br />All through Web Browser<br />Data(experimental data, instruments, sensors...) <br />
    14. 14. ....<br />App<br />App<br />Analysis Services<br />e-Science Central<br />App API<br />Security<br />Provenance/<br />Audit<br />Social Networking<br />Cloud<br />Platform<br />Workflow Enactment<br />Metadata<br />Processing<br />Cloud<br />Infrastructure<br />Storage<br />
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    20. 20. Supporting Teaching<br />Students just need Web Browser<br />anytime, anywhere, any device” learning<br />Teachers can set up exercises<br />data, services, workflows<br /> and remotely review students work….<br />
    21. 21.
    22. 22. Supporting Tech Transfer<br />supports industry collaboration<br />can restrict access to specific content until IP deal agreed<br />e.g. SimMarTec<br />predicts how weather patterns will affect a ship’s progress<br />
    23. 23. Summary<br />Clouds have the potential to transform research & teaching<br />platform for innovation in research, teaching & tech. transfer<br />not just cost reduction!<br />But, access to cloud infrastructure doesn’t help the vast majority of potential users who lack deep IT skills<br />High-level cloud platforms needed, e.g. e-Science Central..<br /><ul><li>handles storage and processing
    24. 24. + scalability, dependability, security & audit
    25. 25. insulates users from cloud vendor lock-in</li></ul>can deploy on intranet as well as public cloud<br />