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Making Inter-domain
Routing Power-Aware?
Junxiao Shi and Beichuan Zhang
The University of Arizona, USA
1
Background
• Network infrastructures exhibit low power efficiency
• Today's networks are over-provisioned
• Average link utilization is low at most of the time
• All routers and their line cards are up and running 24x7
• Low power efficiency becomes an increasing concern for
ISPs and data centers
2
GreenTE: dynamically adjusting routing paths
• GreenTE adapts routing paths to traffic demand, so that
unused links can go to sleep and save power
3
GreenTE model
• GreenTE is modelled as an optimization problem, and
optimized in a centralized controller
• MAXIMIZE: Σ power saving of sleeping links
• SUBJECT TO
• Traffic between each IE pair goes through some path
• Path delay is no more than twice of the delay of shortest path
• Link utilization is below 50% on every link
• Idle links can go to sleep
4
Path diversity
• Power saving via path diversity
• GreenTE switches traffic between multiple paths
• More path choices => (hopefully) higher power saving
• Intra-domain vs inter-domain
• Original GreenTE considers intra-domain paths only: for inter-domain
traffic, ingress and egress points are chosen by some non-power-
aware scheme
• Can we increase power saving by considering inter-domain paths?
5
Power-aware inter-domain routing
• Power-aware inter-domain routing enhances path diversity
• How much additional power saving can we get?
6
source destination
Power-aware inter-domain routing
• Realistic assumption: no global coordination
• Global coordination doesn't exist in Internet
• Two tuning knobs
• Power-aware egress selection
• Power-aware ingress selection
7
Power-aware egress selection
• ISP chooses egress for a flow with BGP route selection
process
• Introduce a new attribute: highest power saving
highest local preference enforce relationships
traffic engineering
shortest ASPATH
lowest MED
i-BGP < e-BGP
lowest IGP cost to BGP egress
lowest router ID break ties
highest power saving
8
Power-aware ingress selection
• Ultimately, ingress is chosen by neighbor AS
• ISP can influence the choice of ingress point by tweaking
BGP announcements
• MED
• ASPATH prepending
• prefix splitting
9
Difficulty in ingress selection
• Ultimately, ingress is chosen by neighbor AS
• effect of ingress selection is less predictable
• Influences cannot take effect immediately
• BGP update rate is limited to avoid triggering route flap damping
• As a preliminary step, this paper focuses on power-aware
egress selection
10
Extending GreenTE model to inter-domain
• New definition of traffic demand
• traffic amount from a set of ingress points to a set of egress points
• BGP tells us the possible egress points
• New constraint
• traffic demand between each ingress set - egress set is split onto IE
pairs
• Technical challenge: scalability
• Multi-Commodity Flow problem is NP-hard
• Inter-domain GreenTE has more variables => bigger problem size
11
One egress set per destination prefix
• fine granularity, more computation, higher power saving
ISP
192.0.2.0/24
12
One egress set per destination AS
• medium granularity, medium computation, medium power
saving
ISP
192.0.2.0/24
13
One egress set per neighbor
• coarse granularity, less computation, lower power saving
ISP
192.0.2.0/24
14
Evaluation
• Our evaluation is based on simulation
• Input
• Rocketfuel topologies
• AS relationship
• synthesis traffic matrix
• Realistic assumption: no global coordination
• Only one ISP seeks to save energy in each simulated scenario
• Comparing power saving potential of intra-domain GreenTE
and inter-domain GreenTE
15
How much power can we save?
saving%
weighted
average
minimum median maximum
intra-domain 36.00% 0.00% 21.86% 62.99%
inter-domain,
per neighbor
36.35% 0.00% 21.86% 62.71%
inter-domain,
per destination AS
36.65% 0.00% 23.40% 63.97%
• Power saving potential increases by enabling power-aware egress
selection, and becomes higher with finer granularity
• Overall the improvement is modest at most
16
Impact of internal topology
• HIGH IMPACT on both intra-domain and inter-domain
spanning tree richly connected
intra-domain
inter-domain
17
Impact of delay constraint
• GreenTE limits the delay of candidate paths to be no more
than twice the delay of shortest path
• Power saving should not cause too much increase on end-to-end
delay
• but this also limits path diversity => limits power saving
• LOW IMPACT on both intra-domain and inter-domain
18
Impact of egress set granularity
• MEDIUM IMPACT on inter-domain
per neighbor AS per destination AS
19
Impact of BGP policy
• MEDIUM IMPACT on inter-domain
respect path preference ignore path preference
(allow using provider route
when there is customer route)
20
Conclusion
• First attempt to answer: is it feasible and beneficial to
consider inter-domain paths in power-aware traffic
engineering?
• Realistic assumption: no global coordination
• Power-aware egress selection: integrate "highest power
saving" to BGP route selection process
• Evaluation: it's feasible to save addition power
• Amount of additional power saving seems modest
• Utilizing intra-domain path diversity already gives most of
power saving
• Benefit of power-aware egress selection alone is small
• What if we have power-aware ingress selection?
21

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Making Inter-domain Routing Power-Aware?

  • 1. Making Inter-domain Routing Power-Aware? Junxiao Shi and Beichuan Zhang The University of Arizona, USA 1
  • 2. Background • Network infrastructures exhibit low power efficiency • Today's networks are over-provisioned • Average link utilization is low at most of the time • All routers and their line cards are up and running 24x7 • Low power efficiency becomes an increasing concern for ISPs and data centers 2
  • 3. GreenTE: dynamically adjusting routing paths • GreenTE adapts routing paths to traffic demand, so that unused links can go to sleep and save power 3
  • 4. GreenTE model • GreenTE is modelled as an optimization problem, and optimized in a centralized controller • MAXIMIZE: Σ power saving of sleeping links • SUBJECT TO • Traffic between each IE pair goes through some path • Path delay is no more than twice of the delay of shortest path • Link utilization is below 50% on every link • Idle links can go to sleep 4
  • 5. Path diversity • Power saving via path diversity • GreenTE switches traffic between multiple paths • More path choices => (hopefully) higher power saving • Intra-domain vs inter-domain • Original GreenTE considers intra-domain paths only: for inter-domain traffic, ingress and egress points are chosen by some non-power- aware scheme • Can we increase power saving by considering inter-domain paths? 5
  • 6. Power-aware inter-domain routing • Power-aware inter-domain routing enhances path diversity • How much additional power saving can we get? 6 source destination
  • 7. Power-aware inter-domain routing • Realistic assumption: no global coordination • Global coordination doesn't exist in Internet • Two tuning knobs • Power-aware egress selection • Power-aware ingress selection 7
  • 8. Power-aware egress selection • ISP chooses egress for a flow with BGP route selection process • Introduce a new attribute: highest power saving highest local preference enforce relationships traffic engineering shortest ASPATH lowest MED i-BGP < e-BGP lowest IGP cost to BGP egress lowest router ID break ties highest power saving 8
  • 9. Power-aware ingress selection • Ultimately, ingress is chosen by neighbor AS • ISP can influence the choice of ingress point by tweaking BGP announcements • MED • ASPATH prepending • prefix splitting 9
  • 10. Difficulty in ingress selection • Ultimately, ingress is chosen by neighbor AS • effect of ingress selection is less predictable • Influences cannot take effect immediately • BGP update rate is limited to avoid triggering route flap damping • As a preliminary step, this paper focuses on power-aware egress selection 10
  • 11. Extending GreenTE model to inter-domain • New definition of traffic demand • traffic amount from a set of ingress points to a set of egress points • BGP tells us the possible egress points • New constraint • traffic demand between each ingress set - egress set is split onto IE pairs • Technical challenge: scalability • Multi-Commodity Flow problem is NP-hard • Inter-domain GreenTE has more variables => bigger problem size 11
  • 12. One egress set per destination prefix • fine granularity, more computation, higher power saving ISP 192.0.2.0/24 12
  • 13. One egress set per destination AS • medium granularity, medium computation, medium power saving ISP 192.0.2.0/24 13
  • 14. One egress set per neighbor • coarse granularity, less computation, lower power saving ISP 192.0.2.0/24 14
  • 15. Evaluation • Our evaluation is based on simulation • Input • Rocketfuel topologies • AS relationship • synthesis traffic matrix • Realistic assumption: no global coordination • Only one ISP seeks to save energy in each simulated scenario • Comparing power saving potential of intra-domain GreenTE and inter-domain GreenTE 15
  • 16. How much power can we save? saving% weighted average minimum median maximum intra-domain 36.00% 0.00% 21.86% 62.99% inter-domain, per neighbor 36.35% 0.00% 21.86% 62.71% inter-domain, per destination AS 36.65% 0.00% 23.40% 63.97% • Power saving potential increases by enabling power-aware egress selection, and becomes higher with finer granularity • Overall the improvement is modest at most 16
  • 17. Impact of internal topology • HIGH IMPACT on both intra-domain and inter-domain spanning tree richly connected intra-domain inter-domain 17
  • 18. Impact of delay constraint • GreenTE limits the delay of candidate paths to be no more than twice the delay of shortest path • Power saving should not cause too much increase on end-to-end delay • but this also limits path diversity => limits power saving • LOW IMPACT on both intra-domain and inter-domain 18
  • 19. Impact of egress set granularity • MEDIUM IMPACT on inter-domain per neighbor AS per destination AS 19
  • 20. Impact of BGP policy • MEDIUM IMPACT on inter-domain respect path preference ignore path preference (allow using provider route when there is customer route) 20
  • 21. Conclusion • First attempt to answer: is it feasible and beneficial to consider inter-domain paths in power-aware traffic engineering? • Realistic assumption: no global coordination • Power-aware egress selection: integrate "highest power saving" to BGP route selection process • Evaluation: it's feasible to save addition power • Amount of additional power saving seems modest • Utilizing intra-domain path diversity already gives most of power saving • Benefit of power-aware egress selection alone is small • What if we have power-aware ingress selection? 21