1 Cyberinfrastructure Framework for 21st Century Science & Engineering (CIF21) NSF-wide Cyberinfrastructure Vision People, Sustainability, Innovation, Integration 1

Framing the Question Science is Radically Revolutionized by CI  Modern science  Data- and compute- intensive  Integrative  Multiscale Collaborations for Complexity  Individuals, groups, teams, communities  Must Transition NSF CI approach to support  Integrative, multiscale  4 centuries of constancy, 4 decades change! 2

Some observations  Science and Scholarship are team sports  Competitiveness and success will come to those who can put together the best team, and can marshal the best resources and capabilities  Collaboration/partnerships will change significantly  Growth of dynamic coalitions and virtual organizations  International collaboration will become even more important  Ownership of data plus low cost fuels growth and number of data systems  Growth in both distributed systems and local systems  More people want to access more data  Federation and interoperability become more important 3

More observations  Innovation and discovery will be driven by analysis  Mining vast amounts of new and disparate data  Collaboration and sharing of information  Mobility and personal control will continue to drive innovation and research communities  Gaming, virtual worlds, social networks will continue to transform the way we do science, research and education  The Internet has collapsed six degrees of separation and is creating a world with two or three degrees. 4

Discovery Collaboration Education Maintainability, sustainability, and extensibility Cyberinfrastructure Ecosystem (CIF21) Organizations Universities, schools Government labs, agencies Research and Medical Centers Libraries, Museums Virtual Organizations Communities Expertise Research and Scholarship Education Learning and Workforce Development Interoperability and operations Cyberscience Networking Campus, national, international networks Research and experimental networks End-to-end throughput Cybersecurity Computational Resources Supercomputers Clouds, Grids, Clusters Visualization Compute services Data Centers Data Databases, Data repositories Collections and Libraries Data Access; storage, navigation management, mining tools, curation, privacy Scientific Instruments Large Facilities, MREFCs,,telescopes Colliders, shake Tables Sensor Arrays - Ocean, environment, weather, buildings, climate. etc Software Applications, middleware Software development and support Cybersecurity: access, authorization, authentication

CIF21 – a metaphor  A goal of Virtual Proximity –-- “ you are one with your resources”  Continue to collapse the barrier of distance and remove geographic location as an issue  ALL resources (including people) are virtually present, accessible and secure  End-to-end integrated resources  Science, discovery, innovation, education are the metrics 6 An organizing fabric and foundation for science, engineering and education

High Speed Networking Requirements  Scientific Instruments  Blue Waters, LHC, OOI, etc  Square Kilometer Array, LSST, NEON  Data Tsunami Interconnectivity  Massive data centers and globally distributed data collections  Campus Department DNS sequencers (1 TB/ min)  Interoperability and open access critical  International Connections  More high speed links to Europe, Asia, S. America  New connections to Africa, Middle-East  End-to-End Focus  Dramatically increase desktop-to-resource performance  Seamless links to all cyberinfrastructure resources

Data Storage Challenges 8 Bytes per day (log scale) Genomics LHC Blue Waters Climate Square Kilometer Array Climate Genomics LHC Climate

Data Storage Challenges 9 Bytes per day (log scale) Genomics LHC Blue Waters Climate Square Kilometer Array Network Connectivity Climate Genomics LHC Climate

Some Networking Infrastructure Research Issues  Major Scientific Facility Connections  Significant increased connection speeds required for new scientific instruments and facilities  High Performance End-User Access  Significant increases required for desktop-to-resource connections  At-speed and real-time capability  Information throughput is the metric  Experimental Research Networks  Multi layer, hybrid networks to handle increasingly complex traffic and workflows  Cybersecurity needs to be built-in from the outset  Digital Divide issues  Geographically remote, rural areas, community colleges, etc  On campus and off campus capabilities 10

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