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SEP: Sensibility analysis of BGP convergence and scalability using network simulation Sensibility analysis Sensibility analysis of BGP convergence and of BGP convergence and scalability using scalability using network simulation network simulation Wolfgang Mühlbauer 5. Oktober 2004

Sensibility analysis of BGP convergence and scalability using network simulation

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Sensibility analysis of BGP convergence and scalability using network simulation. Wolfgang Mühlbauer 5. Oktober 2004. Outline. Running the experiments Influence of MRAI timer settings on convergence times number of updates Propagation of updates number of affected ASes - PowerPoint PPT Presentation

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Page 1: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

Sensibility analysis of Sensibility analysis of BGP convergence and BGP convergence and scalability using scalability using network simulationnetwork simulation

Sensibility analysis of Sensibility analysis of BGP convergence and BGP convergence and scalability using scalability using network simulationnetwork simulation

Wolfgang Mühlbauer

5. Oktober 2004

Page 2: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

OutlineOutlineOutlineOutline

• Running the experiments

• Influence of MRAI timer settings on – convergence times– number of updates

• Propagation of updates– number of affected ASes– propagation radius

Page 3: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

Experiments - SSFNetExperiments - SSFNetExperiments - SSFNetExperiments - SSFNet• Network simulation with SSFNet

– global view– existing BGP implementation

• Modifications to SSFNet– Modeling the behavior of Cisco routers

• Normal distribution of MRAI timer value• Community values• Best Path Selection Process, …

– Configuring link failures– MRAI timer basis: per-peer or per-prefix, …

Page 4: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

Experiments – Doing Experiments – Doing simulationsimulation

Experiments – Doing Experiments – Doing simulationsimulation

• AS Pairs: define topology, reflect commercial relationships (e.g. 12>13)

• Subtree extraction: reduce complexity and size of sample networks

• DML Files: configuration files, input for SSFNet

Subtree (AS Pairs)

AS Pairs DML FilesSimulation

SSFNet

Page 5: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

Experiments – DML FilesExperiments – DML FilesExperiments – DML FilesExperiments – DML Files

• Topology Converter: Automatical generation of DML files out of AS Pairs

• Configurable BGP parameters:– MRAI timer– Link failure dynamics– Interior structure of ASes (route reflectors, …)– WRATE, SSLD– …

Page 6: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

Experiments – Sample Experiments – Sample topologiestopologies

Experiments – Sample Experiments – Sample topologiestopologies

# ASes # external links

based on AS Pairs?

Middle Topology 15 27 no

Topology 1140 95 1145 yes (2003)

Topology 7774 105 614 yes (04/2004)

Middle Topology

Page 7: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

OutlineOutlineOutlineOutline

• Running the experiments

• Influence of MRAI timer settings on – convergence times– number of updates

• Propagation of updates– number of affected Ases– propagation radius

Page 8: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

MRAI – How it worksMRAI – How it worksMRAI – How it worksMRAI – How it works

AS 3

AS 1AS 2

AS 4

AS 5

Page 9: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

MRAI – How it worksMRAI – How it worksMRAI – How it worksMRAI – How it works

AS 3

AS 1AS 2

AS 4

AS 5

AS 1 issues an update to AS 2 and AS 3

Page 10: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

MRAI – How it worksMRAI – How it worksMRAI – How it worksMRAI – How it works

AS 3

AS 1AS 2

AS 4

AS 5

AS 2 "passes on" the information to AS 4

Page 11: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

MRAI – How it worksMRAI – How it worksMRAI – How it worksMRAI – How it works

AS 3

AS 1AS 2

AS 4

AS 5

AS 4 "passes on" the information to AS 5

timer instance is started

Page 12: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

MRAI – How it worksMRAI – How it worksMRAI – How it worksMRAI – How it works

AS 3

AS 1AS 2

AS 4

AS 5

AS 3 sends its update to AS 4 not until now!

Page 13: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

MRAI – How it worksMRAI – How it worksMRAI – How it worksMRAI – How it works

AS 3

AS 1AS 2

AS 4

AS 5

AS 4 may prefer to reach AS 1 via AS 3, but …

timer is not expired yet

?

Page 14: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

MRAI – How it worksMRAI – How it worksMRAI – How it worksMRAI – How it works

AS 3

AS 1AS 2

AS 4

AS 5

update is sent, now AS 4 can reach AS 1 via AS 3

timer expires

Page 15: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

MRAI – SimulationsMRAI – SimulationsMRAI – SimulationsMRAI – Simulations

• Automatical testing of 3 dimensions:

• For Topology 7774 measure:– Convergence time– Number of external updates

different link failures (5)

MRAI timer values in sec (4,5,10,...,60)

different seeds (20)

simulation

Page 16: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

MRAI – ResultsMRAI – ResultsMRAI – ResultsMRAI – Results

Page 17: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

MRAI – per prefix or per MRAI – per prefix or per peerpeer

MRAI – per prefix or per MRAI – per prefix or per peerpeer

per peer per prefix

0.0.0.1/26

0.0.0.2/26

Page 18: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

MRAI – per prefix or per MRAI – per prefix or per peerpeer

MRAI – per prefix or per MRAI – per prefix or per peerpeer

• used topologies: – Topology 1140– Topology 7774

• testing of 4 dimensions– 5 different failure scenarios– different MRAI timer values (4s, 5s, 10s, …, 60s)– per-peer and per-prefix timer basis– 3 different seeds for random number generator

• we measure – convergence times– number of external updates

Page 19: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

MRAI – per-prefix vs per-MRAI – per-prefix vs per-peerpeer

MRAI – per-prefix vs per-MRAI – per-prefix vs per-peerpeer

Page 20: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

OutlineOutlineOutlineOutline

• Running the experiments

• Influence of MRAI timer settings on – convergence times– number of updates

• Propagation of updates– number of affected Ases– propagation radius

Page 21: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

Propagation – Update Propagation – Update RadiusRadius

Propagation – Update Propagation – Update RadiusRadius

radius 0

radius 0

Page 22: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

Propagation – Update Propagation – Update RadiusRadius

Propagation – Update Propagation – Update RadiusRadius

radius 1

radius 1

radius 1

radius 1radius 1

Page 23: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

Propagation – Update Propagation – Update RadiusRadius

Propagation – Update Propagation – Update RadiusRadius

radius 2

radius 2

Page 24: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

Propagation – Affected Propagation – Affected ASesASes

Propagation – Affected Propagation – Affected ASesASes

1) US to D

2) D to US

US providers use link 1 for German destinations

German providers use link 2 for US destinations

Page 25: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

Propagation – Affected Propagation – Affected ASesASes

Propagation – Affected Propagation – Affected ASesASes

1) US to D

2) D to US

Link 1 fails due to some reason

Page 26: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

Propagation – Affected Propagation – Affected ASesASes

Propagation – Affected Propagation – Affected ASesASes

US to D2) D to US

Even traffic from US to D is now routed over link 2 But: Routers in D won‘t get an update message and are therefore not „affected“

Page 27: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

Propagation – Link Propagation – Link ClassificationClassification

Propagation – Link Propagation – Link ClassificationClassification

• classify ASes according to their commercial relationships: – tier1 ASes: no provider– stub ASes: no customer– middle Ases: all the rest

• classify external links according to the ASes they connect: tier1-tier1, tier1-middle, middle-middle,

middle-stub, stub-stub

• Harmfulness of links reflected?

Page 28: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

Propagation - Propagation - SimulationsSimulations

Propagation - Propagation - SimulationsSimulations

• used topologies:– Topology Middle – Topology 1140– Topology 7774

• testing of 3 dimensions– 10 different failure scenarios– different link categories– 3 different seeds for random number generator

• we measure – number and ratio of affected ASes – mean and maximum of propagation radius

Page 29: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

Propagation – Affected Propagation – Affected ASesASes

Propagation – Affected Propagation – Affected ASesASes

Page 30: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

Propagation – Affected Propagation – Affected ASesASes

Propagation – Affected Propagation – Affected ASesASesTopology 7774

Page 31: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

Propagation - RadiusPropagation - RadiusPropagation - RadiusPropagation - Radius

Page 32: Sensibility analysis of BGP convergence and scalability using network simulation

SEP: Sensibility analysis of BGP convergence and scalability using network simulation

Danke fürs Zuhören!Danke fürs Zuhören!Danke fürs Zuhören!Danke fürs Zuhören!

Email: [email protected]