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Cyberinfrastructure for Data Intensive Science (DIS). Follow-on panel to DIS session at Internet2/ESCC Joint Techs Conference Baton Rouge – January 24, 2012 . Joint Techs Winter 2012 Focus. Data intensive science focus session Input from many groups in the community

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Cyberinfrastructure for data intensive science dis

Cyberinfrastructure for Data Intensive Science (DIS)

Follow-on panel to DIS session at

Internet2/ESCC Joint Techs Conference

Baton Rouge – January 24, 2012

Joint techs winter 2012 focus
Joint Techs Winter 2012 Focus

  • Data intensive science focus session

    • Input from many groups in the community

      • Multiple science disciplines

      • Multiple infrastructure areas (networks, supercomputers, laboratory environments, mission agencies)

    • Success stories illustrated effective DIS support

  • The intent was to integrate the needs, context, and commonalities in a white paper

Dis focus area presenters
DIS Focus Area Presenters

  • Bill St. Arnaud, Green IT

  • Matthew Trunnell, Broad Institute

  • Don Middleton, NCAR

  • Rich Carlson, DOE Office of Science

  • Kevin Thompson, NSF OCI

  • Mike Ackerman, NIH NLM

  • Gary Jung, LBNL

  • Gwen Jacobs, Montana State/Hawai’i

  • Ruth Marinshaw, UNC-Chapel Hill

  • Eli Dart, ESnet

  • Brent Draney, NERSC

  • Ron Hutchins, Georgia Tech

  • Joe Breen, Utah

  • Tad Reynales, Calit2-UCSD

  • Jim Bottum, Clemson

DIS Steering Committee: Scott Brim, Eric Boyd, Steve Corbató, Eli Dart,

Susan Evett, Kate Mace, Jim Pepin, Dan Schmiedt, Steve Wolff

Joint techs 2012 what we heard
Joint Techs 2012 – What We Heard

  • Need for effective cyberinfrastructure voiced by multiple communities and disciplines

    • Genomics

    • Climate

    • Supercomputer centers

  • Success stories outlined the path forward

    • Science DMZ model

    • Effective communication between cyberinfrastructure providers, science disciplines, funding agencies

Rapidly evolving context
Rapidly Evolving Context

  • Things are moving quickly now

    • NSF CC-NIE call focused on improving campus networks

    • Federal Big Data initiative

  • This stuff is for real – it’s not just talk

    • Infrastructure funding

    • Grant funding

  • The direction is not in doubt – the only thing to decide is the actions to take

    • Institutions that are aggressive in this space are likely to acquire first-mover advantage

    • The wide area infrastructure is available now

  • The need for a white paper has passed

Solutions required for research institutions
Solutions Required for Research Institutions

  • Means by which campuses can connect to science services outside their borders

    • Collaboration

    • Computation

    • Data sources and services

  • Support data-intensive collaboration

    • Foster environment for grants, projects

    • Attract new faculty, new programs

  • Refresh science infrastructure

Science infrastructure refresh
Science Infrastructure Refresh

  • NSF call  reinvestment in foundations of data intensive science

  • Architecture that has been shown to work: Science DMZ

  • In addition to technology, people and processes must be included in the refresh

    • Science programs, infrastructure providers and security officers must all be on board

    • Communication and a common vision are very important

    • Staff need the skills to manage high-performance science flows and the infrastructure to support them

The science dmz refresher
The Science DMZ – Refresher

  • The Science DMZ is two things

    • An element of network architecture

    • A model for supporting data-intensive science at a research institution

  • Architecture

    • Portion of the network, at or near the site perimeter

    • Devoted exclusively for science support

    • Built with capable hardware

    • Dedicated resources for data transfer, network measurement

    • Appropriate security applied, application set restricted so that security controls, risk, and science mission are all aligned


The science dmz model
The Science DMZ Model

  • In general, the Science DMZ model is a framework for cyberinfrastructure

    • Explicitly accommodates science mission

    • Builds in flexibility to adopt tools and technologies for science support

    • Establishes appropriate security infrastructure to both enable and protect science

  • Must balance security, usability, and performance

  • The science mission is given what it needs to succeed

Integration of campus with wider infrastructure
Integration of Campus with wider infrastructure

  • Science DMZ enables a campus to connect local scientists and resources in a frictionless manner to other sites and services

    • Science networks

    • Advanced services

      • Virtual circuit services, network overlays

      • Internet2 Innovation Platform


    • Science DMZ resources at other campuses

      • This is a critical point – remember Metcalfe’s Law

      • Value of a Science DMZ increases as others deploy them

  • The data-intensive era is upon us – the infrastructure must evolve to keep pace


  • The time to act is now

  • Lots of movement in this space – dynamic, evolving

  • Create a coalition of the willing

    • Set of Universities and National Labs of sufficient critical mass to create transformative environment to support DIS

    • Must create environment to encourage innovation while encouraging coherence to support scientific disciplines scattered across the globe

  • Infrastructure pieces are well-understood

    • Hence the NSF call for campus activities

    • Get these deployed now