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ToNC workshop

Detailed agenda discussing architecture theory and systems, exploration of network design decisions, challenges in current Internet system, and interactions with network economics.

mohammed-jalila
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ToNC workshop

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  1. ToNC workshop Next generation architecture H. Balakrishnan, A. Goel, D. Johnson, S. Muthukrishnan, S.Tekinay, T. Wolf DAY 2, Feb 17 2005

  2. Agenda • What is architecture? • Broad outlines? • Focused problems • Outreach • Mechanisms and logistics

  3. What is Architecture (Systems) • What are the optimum design decisions • Functionality: where and why? • Example: How much application-specific processing should be done at the core? • State -- allocation of state among components; by functionality • What scales better? • Cross-layering vs re-layering • Example: autonomous system structure? • Do not take TCP, IP addresses as given

  4. What is Arch. (theory) • Also study optimality, algorithmic details, lower and upper bounds • Also, topology, network design

  5. Why study architecture? • Systems issues -- Current Internet is broken. • Theory point -- also ask, are there cliffs we are approaching?

  6. Broad topics • Naming and Addressing • Communication abstractions and primitives • Overlays • Measurement and Diagnostics • Other networks -- sensor, adhoc • Autonomy • Interaction of economics with network architecture • Topology and network design decisions

  7. Naming and Addressing • Motivation: Mobility and multi-homing • interesting parallels to phone networks • What should be permanent/transient? • Should we route based on names? Should we have topological identifiers? • Identifiers serve two purposes: Routing and identification • Algorithmic and implementation questions are key in making the decision • Routing efficiency; Lookup efficiency • Interactions with security? • Capabilities and address based access control

  8. Primitives and abstractions? • Is Layering Fundamental? What is the optimum layering structure? • What state should be exposed (if any) to end nodes? • Example of a different architecture • Put/get in addition to and in place of send/receive (eg. web, distributed hash tables) • Initial design of the Internet was motivated by telnet • Content/Attribute based addressing • Implications for load balancing problems • Implications for routing and distributed data structures

  9. Primitives and abstractions • What are the right primitives for network tasks? • Characterize capabilities/functionality? • How should they be implemented? • What primitives should the network provide to facilitate peer-to-peer applications? • Automated mapping of tasks • Given abstract primitives, what is the best mapping of task on to architecture/primitives • NSF program for DDDAS (Distributed data driven application systems) • Covers natural, social, biological, and communication networks

  10. Measurement and Diagnostics • Measurement based decision making • Quantifiable benefits of measurement • Massive data set analysis • Optimum response to measurements/interpreting measurements? • Forensic measurements? What are the right queries to issue? • How do you architect networks to facilitate measurement? • Self-administering and the role of measurements

  11. Autonomous systems, architecture, and economics • Do autonomous systems need to exist? Is the current structure optimal? • Degree of autonomy/centralization? • Are there more monolithic models that still allow for individual latitude? • Connections to the phone network • Interaction of network organization and network economics • Volume based charging and its implication for architecture?

  12. Other broad areas • Wireless and sensor net architecture • Topology issues • Network design • Optical networks • Application level networks (P2P)

  13. Outreach • CS looks at the world through discrete lens. EE reduces everything to convex optimization • More serious discrete modeling • More serious versions of continuous algorithms • Outreach goal: Not be isolationist • More proposals to Nets • Already, good collaborations with network systems researchers. Build on that. More co-teaching etc. • More integration with EE theory

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