1. Scalable Information Infrastructure and the Research University Community SC99 19 November 1999 Portland, Oregon Douglas Van Houweling President & CEO, Internet2/UCAID DVH@Internet2.edu

2. Lessons on Scalability from the Internet  Has grown more than 100% per year since 1985  Non-hierarchical  Based on evolving & open standards  Bottom-up innovation  Includes small to large-scale testbeds

3. Research and Development Commercialization Partnership Testbeds Privatization Internet Development Spiral Today’s Internet Internet2 NSFNetARPANet NYSERNet SURANet MichNet ANS/Core PSI UUNet InternetMCI AOL GigaBit Testbeds MBone NGI Intelligent Networks NTON vBNS

4. The Internet Today  Hundreds of millions of users  Web, email, low-quality audio & video  Applications adapt to underlying technology  Important, not mission-critical uses  Scale orders of magnitude beyond the design point

5. Tomorrow’s Internet  Billions of users and devices  Convergence of today’s applications and services with real time rich media environments  New technologies enable unanticipated applications (and create new challenges)  Mission-critical uses

6. Tomorrow’s Internet Requires  Bigger pipes  Capacity allocation & assurance  Core middleware  Application-enabling middleware  Exemplary applications

7. Our Role  Create leading edge R&E network capability  Implement required middleware  Enable new generation of applications  Provide the platform for scalability research  Transfer technology and experience to the global Internet

8. We Hold the Key  High performance applications  Middleware innovations and deployment  Progressively larger testbeds  Relationships with government and industry  Research capability to discover, diagnose, and innovate in response to scalability challenges

9. The Scalability Agenda  Comprehensively instrument the high performance network environment  Apply advanced processing, storage, data analysis and modeling tools  Engage three communities Users Infrastructure providers Computer Science network research