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Grand Challenge Network Problems
1. Network management and control in the presence of fast network dynamics
2. Reliable delivery with deadlines
Vincent W. S. ChanJoan and Irwin Jacobs Professor, EECS, MITSES DoD
2
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
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
Future network management and control challenges
User1
User2
UserN
...
Server1Server1
Server2Server2
ServerKServerK
...
Cloud
Network
3phenomena of scale Time
10 10 10 1 10 10 10 10 10 32-1-23-4-7 10
102
3
4
5
6
7
8
9
10
11
10
10
10
10
10
10
10
10
10C
han
nel ra
tes
in b
ps RF satcom
scintillations
SatcomRF
capacitydynamics
Fiber linktransients
Laser comm
Wireless-fading
1K
MANET disconnections
10
Wireless handover
Cu
rren
t In
tern
et
Arc
hit
ectu
re:
TC
P/I
PPhenomena leading to network impairments
4
Km
S4321
3212
10101010110
10101011010
Su
bsyste
m s
cale
#
of
use
rs c
ou
ple
d1
0x
1
01.5
x
102
x
Fast/per-session Short term average Quasi-staticDistributed Localized/distributed Centralized
WAN NM&Crouting
MAN NM&Crouting
LAN/Users
Network control time scale will increase by 103 Scalable distributed/centralized algorithms must be used
X 1/dynamics Fiber ~ 4MANET ~ 1 Stops at MANSAT ~ 2-3
Dynamics: mobility, channel effects, elephants, changing network topologiesNeed 30-100Gbps links for full link state updates (refresh per coherence time)
# of users/time-scale ~ constant?
5
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.
Network information sensed
Eff
icie
ncy R
eliability
0 ∆ 1
1 1
Network management and control challenges
Cost of efficiency for added reliability
