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CyberInfrastructure (CI ): Whence? Thomas J. Greene, Ph.D. Sr. Program Dir. for CISE-ANIR, National Science Foundation
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CyberInfrastructure ( CI ): Whence? Thomas J. Greene, Ph.D. Sr. Program Dir. for CISE-ANIR, National Science Foundation.

Dec 14, 2015

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Page 1: CyberInfrastructure ( CI ): Whence? Thomas J. Greene, Ph.D. Sr. Program Dir. for CISE-ANIR, National Science Foundation.

CyberInfrastructure (CI ): Whence?

Thomas J. Greene, Ph.D.Sr. Program Dir. for CISE-ANIR,

National Science Foundation

Page 2: CyberInfrastructure ( CI ): Whence? Thomas J. Greene, Ph.D. Sr. Program Dir. for CISE-ANIR, National Science Foundation.

TJG -- 21st NORDUnet conference --Iceland - 24/AUG/2003 2

Outline

1. A vision of information/knowledge progress

2. The state of NSF CISE vision of CI

3. Some thoughts on a strategy

Page 3: CyberInfrastructure ( CI ): Whence? Thomas J. Greene, Ph.D. Sr. Program Dir. for CISE-ANIR, National Science Foundation.

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This big Vision is :Cyberinfrastructure

An old idea of information processing using machines made from :

• INPUT/OUTPUT devices• PROCESSORS

• MEMORY• CONNECTIONS

Becomes a new idea through:• Very BIG Sizes and • GLOBAL distances

Page 4: CyberInfrastructure ( CI ): Whence? Thomas J. Greene, Ph.D. Sr. Program Dir. for CISE-ANIR, National Science Foundation.

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Outline

1. A vision of information/knowledge progress

2. The state of NSF CISE vision of CI

3. Some thoughts on a strategy

Page 5: CyberInfrastructure ( CI ): Whence? Thomas J. Greene, Ph.D. Sr. Program Dir. for CISE-ANIR, National Science Foundation.

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Evolution of the Computational Infrastructure

Supercomputer Centers

PACI

Terascale

1985 1990 1995 2000 2005 2010

| | | | | |

NPACI and Alliance

SDSC, NCSA, PSC, CTC

TCS, DTF, ETF

Cyberinfrastructure

Prior Computing Investments

NSF Networking

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Daniel E. Atkins, Chair, University of Michigan Kelvin K. Droegemeier, University of Oklahoma Stuart I. Feldman, IBM Hector Garcia-Molina, Stanford University Michael L. Klein, University of Pennsylvania David G. Messerschmitt, University of California at Berkeley Paul Messina, California Institute of Technology Jeremiah P. Ostriker, Princeton University Margaret H. Wright,New York University

http://www.communitytechnology.org/nsf_ci_report/

Setting the Stage

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Cyberinfrastructure Promise

• Ubiquitous, digital knowledge environments that are both interactive and functionally complete…………

• revolutionize the processes of discovery, learning and innovation across the science and engineering frontier.

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Characteristics of Cyberinfrastructure

• Community-Driven• Distributed Collaboration• Virtual Organization• Multidisciplinary in scale and scope• International in scale and scope• Interoperable• Supporting Data- and Compute-Intensive Applications• High end to desktop• Distributed• Heterogenuous• Complex• Reusable

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Cyberinfrastructure Early Adopters

• Network for Earthquake Engineering Simulation (NEES)

• National Ecological Observatory Network (NEON)

• Biomedical Informatics Research Network (BIRN)

• Extensible Terascale Facility (ETF)

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CalTech Argonne

Terascale Extensions Program

SDSC

LosAngeles

Chicago

NCSA PSC

Existing ETF Partners

Hubs

New Partners

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FY2003 ETF Enhancements

• Solicitation to attract new resource partners (due June 9th)

• Funding connection and integration• Resources may include:

– Archival repositories– Digital libraries– Computational resources– Sensor networks

Page 12: CyberInfrastructure ( CI ): Whence? Thomas J. Greene, Ph.D. Sr. Program Dir. for CISE-ANIR, National Science Foundation.

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Computation

Communication Information

Collaboration

Community

Culture

Cyberinfrastructure

KNOWLEDGE

On The Path to Knowledge

DATA

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Hardware

Integrated CI System meeting the needs of a community

of communities

Grid Services & Middleware

DevelopmentTools & Libraries

Applications• Environmental Science• High Energy Physics• Proteomics/Genomics• …

Domain-specific

Cybertools (software)

Domain-specific

Cybertools (software)

Shared Cybertools (software)

Shared Cybertools (software)

Distributed Resources

(computation, communication, storage, etc.)

Distributed Resources

(computation, communication, storage, etc.)

Ed

uca

tion a

nd

Tra

inin

g

Dis

covery

& In

novati

on

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Shared Cybertools(Middleware Tools and Services)

Basic Services

Security, Scheduling, Data Services, Database Services, User Services, Application Management Services, Autonomy and Monitoring Services, Information Services, Composition Service, Messaging Service

Application Level ServicesPeople Collaboration, Resource Collaboration,

Decision-Making Services,Knowledge Discovery

Services, Workflow Services, Universal Access

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Challenging Context

• Institutional & Infrastructural Ecology– Technological change more rapid than institutional change

• Broadening Participation• Community-Building – Role of early adopting

communities as drivers/partners ?• Seamless Integration of New and Old

– Balancing upgrades of existing and creation of new resources– Legacy data/models

• Providing sustainable support

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Plan of Action

• Focused, cross-cutting attention on cyberinfrastructure – not business as usual

• Internal NSF planning now underway - active discussion on specific cyberinfrastructure issues

• Community building - broad consultations with scientific communities will intensify in coming months

• Summer 2003 workshops and town hall meetings – management models

• NSF FY05 budget planning for cyberinfrastructure beginning shortly

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Outline

1. A vision of information/knowledge progress

2. The state of NSF CISE vision of CI

3. Some thoughts on a strategy… (a modest proposal ?)

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Why collaborate ?

• (1) Altruism

• (2) Self- Interest – For this project choose (2) because busy

communities often respond easily to Self-interest (especially with visible Leveraged outcomes for the community agenda)

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A CS Strategy for CI building ?

• PICK some existing global big science projects

• Engage them in a revolution using projects building/using cyberinfrastructure components

• Agree to Find “de facto standards” for mutual benefit across cultural divides

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Leverage at the Interface(Equal Partnership Collaborations)

• SCIENCE APPLICATIONS

• COMPUTER TOOLS

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A Science Strategy for CI building ?

• PICK some existing computer science projects

• Engage them in a revolution using projects building/using cyberinfrastructure components

• Agree to Find “de facto standards” for mutual benefit across cultural divides

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CI Is a Large SYSTEM so build it as most very large systems are

built-- – Bottom up --- micro– Top down --- macro– Middle out – engineering choices for standard

interfaces (Standards solutions etc.)

• --• USE Cyber infrastructure rapid proto demos• And keep them alive after the demo …

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Cyberinfrastructure vision involves a Large COMPLEX system – (with Synergy?)

• top down

• bottom up

• or middle out

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Bad News

• Crossing cultures to enable collaborations is not a well understood process.

• New tools for this are needed in computers and communications.

• Agreements to enabling standards requires people compromising to agree to further the big agenda – “big thinkers”.

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Good News - a Win-win Situation Exists

• Essential changes in information access are happening now, (not just a little faster, bigger but - much faster, bigger, wider!).

• Solving very hard problems faster and better by the collaborations “idea” by some frontiersmen is already agreed to .

• Committed problem solvers will “climb mountains “ to solve their problem agenda and will even work with people outside their culture – sometimes.

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Some Principles for a Global Cyber Infrastructure and for E-science Rapid Prototyping

Some proposed principles under current discussion  0] The cost and complexity of 21st Century Science requires the creation

of advanced and coherent global Infostructure (information infrastructure).

 1] The construction of a coherent Global Infostructure for Science

requires definition and drivers from Global Applications (that will also communicate with each other)

 2] Further, forefront Information Technology must be incorporated into

this Global lnfostructure for the Applications to reach their full potential for changing the way science is done

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Some CI Building Tactics

• Use common agendas, not common check books.( i.e. Keep money with owning agencies as much as possible.)

• Full credit to all

• Give Endorsements across cultures whenever useful.

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Finished!

Questions?

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Acknowlegement

The members of the NSF CyberInfrastructure Working Group

(CIWG)

Dr. Deborah Crawford,Chair

Page 30: CyberInfrastructure ( CI ): Whence? Thomas J. Greene, Ph.D. Sr. Program Dir. for CISE-ANIR, National Science Foundation.

TJG -- 21st NORDUnet conference --Iceland - 24/AUG/2003 30A global vision of Ubiquitous information at Light-speed– Cyberinfrastucture ( Grids, E-science) =

globe

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