Cloud Libraries
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Cloud Libraries

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impact of cloud computing concepts on information access services and library organizations

impact of cloud computing concepts on information access services and library organizations

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  • 1. Cloud libraries April 2008
  • 2.
    • cloud computing concepts
  • 3.
    • get fuzzier over time ...
    • many different
    • broadly similar
    • definitions abroad
  • 4.
    • generally means:
    • widely distributed,
    • network based -
    • - storage,
    • - computation,
    • - SaaS models
  • 5.
    • single datacenter or -hosted apps >
    • moving to network based solutions
  • 6.
    • usually provided by
    • external parties on
    • a quanta basis, e.g.
    • compute cycle or byte traffic
  • 7.
    • a concept of
    • “ virtualization”
    • of infrastructure
    • or web service
    • or application
  • 8.
    • Poster Child:
    • Amazon’s services --
    • S3 (simple storage system) and
    • EC2 (elastic compute cloud)
  • 9.
    • NY Times
    • converted its
    • TIFF backlist to PDF
    • with Amazon services (EC2 / S3)
    • and bill was ~ $500
  • 10.
    • “ I then began some rough calculations and determined that if I used only four machines, it could take some time to generate all 11 million article PDFs. But thanks to the swell people at Amazon, I got access to a few more machines and churned through all 11 million articles in just under 24 hours using 100 EC2 instances, and generated another 1.5TB of data to store in S3.” - Derek Gottfrid, NYT
  • 11.
    • services are offered
    • or increasingly
    • defined by
    • Google,
    • Amazon,
    • Microsoft (maybe),
    • IBM and others.
  • 12.
    • Google’s
    • MapReduce
    • break up a problem
    • allocate to many machines
    • reassemble for use
  • 13.
    • [1, 2, 3].map{|i| i * 10}
    • map{}
    • returns new array
    • [10, 20, 30]
  • 14.
    • map{} could be
    • {image processing}
    • {text search}
    • {metadata extraction}
  • 15.
    • reduce{} transforms
    • output of map{}
  • 16.
    • It doesn’t matter
    • how many parameters in list
    • every item handled independently
    • from every other item
  • 17.
    • means computation
    • over each item in list
    • can be distributed
    • to many computers
    • eg one VM per item
  • 18.
    • reduce{} combines results
  • 19.
    • “ ... a new super-group of tech companies [will] dominate the cloud computing market, each of them managing what amounts to a giant centralised computer made up of a number of big datacentres.”
    • - Steve Ballmer, MSFT
  • 20.
    • “ NSF Partners With Google and IBM to Enhance Academic Research Opportunities”
    • (Press Release 08-031)
    • even very high end universities
    • lag behind corporate computing
  • 21.
    • “ Fundamental changes in computer architecture and increases in network capacity are encouraging software developers to take new approaches to computer-science problem solving.”
  • 22.
    • “ In order to bridge the gap between industry and academia, it is imperative that academic researchers are exposed to the emerging computing paradigm behind the growth of "Internet-scale" applications.”
  • 23.
    • IBM is deeply committed
  • 24.  
  • 25. IBM Kittyhawk
    • http://domino.research.ibm.com/
    • comm/
    • research_projects.nsf/
    • pages/
    • kittyhawk.index.html
  • 26. IBM Kittyhawk
    • "We postulate that efficient, balanced machines with high-performance internal networks such as Blue Gene are not only significantly better choices for web-scale companies but can form the building blocks of one global-scale shared computer. Such a computer would be capable of hosting not only individual web-scale workloads but the entire Internet. ...”
  • 27.
    • in other words:
    • not your father’s
    • datacenter
  • 28. “Hiding in Plain Sight, Google Seeks More Power” Photo Credit: Melanie Conner for The New York Times
  • 29.
    • cloud computing
    • has already
    • revolutionized
    • many content based
    • information services
  • 30.
    • Google Books
    • virtualizes
    • libraries
  • 31.
    • Flickr
    • virtualizes
    • image collections
  • 32.
    • iTunes
    • virtualizes
    • audio recordings
  • 33.
    • YouTube
    • virtualizes
    • video
  • 34.
    • Is there space for HE
    • to contribute to
    • virtualization layers ?
  • 35.
    • Most new initiatives
    • do not directly involve
    • research libraries as
    • central constituents
  • 36.
    • OpenLibrary
  • 37.
    • Zotero and Internet Archive
  • 38.
    • LibraryThing
  • 39.
    • If (ARTStor) did (Flickr) ...
  • 40.
    • libraries provide fairly
    • lightweight applications
    • or “soft infrastructure”
  • 41.
    • e.g.
    • faculty repository systems
    • online publishing platforms
    • boutique special collections
  • 42.
    • not
    • fundamental
    • infrastructure
    • provision
  • 43.
    • power is in aggregation
  • 44.
    • but there are
    • problems with
    • library collaboration
    • at scale
  • 45.
    • (it doesn’t happen)
  • 46.
    • similar to classic
    • political science issues
    • on sovereignty
  • 47.
    • EU one of the most successful
    • trans-national political efforts
  • 48.
    • Europe
    • tightly integrated
    • due to
    • - physical and
    • - historical and
    • - economic issues
  • 49.
    • consider
    • the difficulties
    • establishing
    • League of Nations
  • 50.  
  • 51.
    • and post WW-II,
    • United Nations
  • 52.  
  • 53.
    • United Nations
    • (as it exists today)
    • not (at all) what its
    • planners wished
  • 54.
    • Tremendous conflict
    • arose in San Francisco
    • between Russia (Molotov)
    • other Allied war parties
  • 55.
    • Even in the face
    • of the possibility
    • of world-ending
    • NUCLEAR WAR
  • 56.
    • Libraries have little beyond
    • established workflow
    • interoperation
    • like ILL
  • 57.
    • a few dominance hierarchies
    • like the CIC
    • or OhioLink
    • or the CDL
    • which do well in core operations
  • 58. OCLC
    • I see primarily as a vendor
    • in important but established
    • bibliographic service space
  • 59.
    • Difficult to establish
    • - much less maintain -
    • a  of large libraries
    • with serious long term
    • resource commitments
  • 60.
    • maybe the
    • best model is
    • support of
    • the equivalent of
    • something like
    • the IAEA
  • 61.
    • contribute
    • - dollars
    • - staff
    • - expertise
    • - technology
  • 62.
    • working
    • with others
    • but relying on
    • an independent
    • organizational
    • framework
    • for action
  • 63.
    • a possible role
    • for the DLF
    • “ marriage broker”
  • 64.
    • make introductions
    • between nascent efforts
    • and potential partners
  • 65.
    • like libraries
    • and museums
    • and archives
    • and tech firms
    • and societies
  • 66.
    • figure out domain- or discipline-
    • based early-stage faculty teams
    • seeking to develop new services
  • 67.
    • aid and abet --
    • encourage faculty and
    • professional societies
    • to assume leadership
  • 68.
    • current thrusts
    • for the DLF ...
  • 69.
    • mobile apps
    • virtual worlds
    • moving images
    • science CI
  • 70.
    • focus today on mobile :
    • fundamentally reliant on
    • net- scale applications
  • 71. mantra
    • connect
    • communicate
    • collaborate
    • (CCC)
  • 72. mobile apps
    • iPhone
    • Android
    • wholly game changing
    • development platforms
  • 73.
    • coming :
    • social collaborative
    • learning environments
  • 74.
    • wild assed designs
    • portable
    • networked
    • computing
    • interfaces
  • 75. petiteinvention
  • 76. areas to watch Rudy de Waele Plugg.eu - March 19, 2008 dot.Open
  • 77.
    • sensoring
    • biometrics
    • transactions
    • lifestreaming
    • recommendation
    • image recognition
    • augmented reality
    • mobile connected games
    • location based social media
    • retail proximity media consumption
    • Rudy de Waele Plugg.eu - March 19, 2008 dot.Open
  • 78.
    • in  ...
    where ? libraries in the future
  • 79.
    • university libraries will not band
    • together in virtual organizations
    • to establish
    • bigger, better libraries
    • offering cloud based
    • information services
  • 80.
    • probably this
    • is against their
    • institutional nature
  • 81.
    • a significant difficulty in
    • moving into wholly different
    • domain areas (like mobile)
  • 82.
    • IN NEW ecological niches
      • zero platform expertise
      • no collaboration : industry
      • a paradigm shift in IT
  • 83.
    •  libraries 
    • MUST
    • STOP defining
    • solutions
    • (in terms of)
    •  libraries 
  • 84.
    • libraries must
    • learn how to :
    • partner ||
    • collaborate ||
    • contribute ||
    • coordinate
  • 85.
    • via organizational frameworks
    • - external to us
    • - friendly to us
    • - supported by us
    • - sponsored by us
    • (but not us.
  • 86.
    • that’s a different
    • kind of library
    • more diverse
    • more opportunistic
    • more open
  • 87.
    • it’s a smaller library
    • it’s a more nimble library
    • it’s a library of pieces
    • broken up from something
    • unwieldy lethargic stifling
  • 88.
    • ( It should be
    • a
    • more fun
    • LIBRARY )
  • 89. thanks peter at diglib.org naypinya {twitter, twine, skype}