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Grand Challenge Network Problems

Grand Challenge Network Problems. Network management and control in the presence of fast network dynamics Reliable delivery with deadlines Vincent W. S. Chan Joan and Irwin Jacobs Professor, EECS, MIT SES DoD. Future network management and control challenges.

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Grand Challenge Network Problems

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  1. Grand Challenge Network Problems • Network management and control in the presence of fast network dynamics • Reliable delivery with deadlines Vincent W. S. Chan Joan and Irwin Jacobs Professor, EECS, MIT SES DoD Chan@MIT.edu

  2. Future network management and control challenges • Future network dynamics (fast) • Applications: • Resource allocation for per flow large transactions • High granularity wireless transactions with deadline • Network: • Highly fluid wireless topologies • Long reach lightpath transients in physical layer • Current network dynamics (slow) • Applications: • Network does not respond to per session dynamics • Little time deadline services • Network: • Slow provisioning in backbone • Static wireless infrastructure Chan@MIT.edu

  3. Phenomena leading to network impairments Fiber link transients Laser comm Satcom RF capacity dynamics RF satcom scintillations Wireless-fading 1K MANET disconnections 10 Current Internet Architecture: TCP/IP Channel rates in bps Wireless handover Chan@MIT.edu

  4. Network control time scale will increase by 103 Scalable distributed/centralized algorithms must be used Subsystem scale # of users coupled 10x 101.5x 102x • X  1/dynamics • Fiber ~ 4 • MANET ~ 1Stops at MAN • SAT ~ 2-3 WAN NM&C routing MAN NM&C routing LAN/Users • # of users/time-scale ~ constant? Fast/per-session Short term averageQuasi-static Distributed Localized/distributed Centralized Dynamics: mobility, channel effects, elephants, changing network topologies Need 30-100Gbps links for full link state updates (refresh per coherence time) Chan@MIT.edu

  5. Network management and control challenges • Before: Quasi-static provisioning, localized sensing and restoration (e.g. SONET, G709) • Future: Fast transients, fluid topologies, per session resource allocations, … • Problems: • Dynamics too fast and too many for full sensing • Even with full network states, how to do resource allocation computations? • How to collapse amount of network state sensed ∆, but retain reasonable efficiencies? • Network management designs must be done with considerations of amount of state information sensed and optimized with performance metrics • Reliability costs efficiency except at 1. 1 1 Cost of efficiency for added reliability Efficiency Reliability 0 ∆ 1 Network information sensed Chan@MIT.edu

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