ahm 2014: the iplant collaborative, community cyberinfrastructure for life science
DESCRIPTION
Presentation given by Nirvan Merchant in the afternoon Architecture Forum Session on Day 1, June 24, at the EarthCube All-Hands MeetingTRANSCRIPT
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Data to Discovery
The iPlant Collaborative Community Cyberinfrastructure for Life Science
Nirav Merchant ([email protected])iPlant / University of Arizona
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Data to Discovery
The iPlant Collaborative: Vision
www.iPlantCollaborative.org
Enable life science researchers and educators touse and extend cyberinfrastructure
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Data to Discovery
iPlant: Layer Cake
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Data to Discovery
iPlant Architectural Motivation • We strive to be the CI Lego blocks• Danish 'leg godt' - 'play well’• Also translates as 'I put together' in
Latin• If a solution is not available you can
craft your own using iPlant CI components
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Data to Discovery
iPlant Atmosphere
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Data to Discovery
iPlant Data Store
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Data to Discovery
iPlant BISQUE
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Data to Discovery
How is it being used ?
• User build their own systems (powered by iPlant components) but managed by them
• Consume specific components (a la carte, data store, Atmosphere)
• Directly use applications (DE)• Custom design appliances
(Atmosphere)• Publish their findings (PNAS, Nature)• Advocate use• Create learning material and
courses
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Data to Discovery9
www.iplantcollaborative.org
iPlant’s role as an enabling CI
Example “Powered by iPlant” Impact
CoGE usage and user count after federation and interoperability with iPlant
9
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Data to Discovery
Why is it valuable ?
• Users are able to over come data and computational bottle necks
• Share data of ANY size with ANYONE• Connect data and compute on single
platform • Manage their data and computations
regardless of scale • Build their own apps and solutions
(create their own community iAnimal, iVirome)
• Create custom appliances
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Data to Discovery
iPlant: What worked• All major CI components have seen
steady adoption (few exception)• “Think tank to do tank” transition
was rapid• Evolved to a technology proving
ground• Take research products (NSF
funded) to production use for our community
• Running infrastructure is not fun, building is. Allowing people to focus on science (while stream line CI)
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Data to Discovery
iPlant: What worked
• Evolution of training (software carpentry)
• Sharing/collaboration• Give people exit strategy (options)
and they are happy adopt solution• Provide feedback to CI component
creators to improve (usability)• Expectation management: Do not
expect the same experience (cable cord cutting v/s netflix/hulu)
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Data to Discovery
What did not work
• Managing distributed teams is harder in VO (load balancing, enthusiasm etc)
• Technology lifecycle is not synchronized across all products
• Relying on multiple providers for solution is challenging (downtimes)
• Changing/Evolving needs of community are hard to predict
• Growth of users out paces our cloud capabilities (see tweets)
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Data to Discovery
Even the tech geeks notice
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Data to Discovery
Connect with iPlant!
Twitter: @iPlantCollab #iPlantFacebook: facebook.com/iPlantCollab
LinkedIn: iplant.co/iPlantCollabLinkedInGoogle+: iplant.com/iPlantGooglePlus