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\begin{document}
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\begin{slide}{}
\T{Report from the Core Networking Panel}
\vspace{1in}
\centerline{NSF ANIR Principle Investigator Meeting}
\centerline{January 9-10, 2003}

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\begin{slide}{}

\T{(1) Understanding and managing complexity:}

\B  Complexity in routing.

\B  Feature interactions.  

\B  Implications of complexity on operations.  

\B  Interactions with scalability and robustness.

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\T{(2) Automation:}

\B There is a pressing need for reducing required human intervention in the deployment and operations of the network.  

\B In the case of network management, this includes the management of entire networks, not just the management of individual boxes.  

\B Issues include failure diagnosis, zero-configuration for internetworking, and policy verification.  

\B What are the boundaries for self-configuration?

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\T{(3) Network resilience:}

\B  This includes topics such as defensive networks (e.g., DoS prevention, detection and reaction.)  

\B  Issues also include survivability, responding to failures, and improved routing stability, convergence, and failover.

\B  Interactions of trustworthiness with core networking issues.

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\T{(4) Flexibility and evolvability:}

\B  Overcoming architectural ossification, and understanding evolutionary potentials.

\B  Flexible in terms of new applications.  

\B  Overlays.

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\T{(5) Resource management:}

\B  Long-term research issues still are pressing in issues of QoS, congestion control, traffic engineering, and other resource managenent mechanisms.  

\B  Congestion control issues include coping with vastly increased variability and dynamic range.  

\B  With QoS in particular, the research issues include economic factors.  

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\T{Theoretical understanding:}

\B  One approach that needs continued development, that is not
restricted to core networking, is to develop improved
theoretical understanding of the network.

\B  Applying and improving models and metrics.

\B  Theory for complexity and other issues as well as for performance.  

\B  Fitness for purpose.  

\B  Evaluating degree of optimality.

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\end{document}