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Stable Internet Routing Stable Internet Routing Without Without Global Coordination Global Coordination Jennifer Rexford AT&T Labs--Research http://www.research.att.com/~jrex/papers/sigmetrics00.long.p
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Stable Internet Routing Without Stable Internet Routing Without Global CoordinationGlobal Coordination

Jennifer RexfordAT&T Labs--Research

http://www.research.att.com/~jrex/papers/sigmetrics00.long.pdf

Internet Routing Architecture: A Double-Edged Sword?Internet Routing Architecture: A Double-Edged Sword?

Key properties– Loose confederation of Autonomous Systems

– No global registry of the network topology

– Limited state in the individual routers

– No fixed connection between hosts

These attributes contribute to– Success of Internet

– Rapid growth of the Internet

– … and the difficulty of managing the Internet!

sender receiver

1 2 3

Research Agenda: Managing Internet RoutingResearch Agenda: Managing Internet Routing

Single AS: managing routing in backbone networks– Measurement of traffic, routing, and configuration data

– Tuning the configuration to the prevailing traffic

– Identifying configuration errors and increasing automation Inter-AS: stable and efficient interdomain routing

– Guaranteeing routing protocol convergence

– Inference of commercial relationships

– Characterization of routing (in)stability End-to-end: troubleshooting of reachability problems

– Root-cause analysis of routing changes

– Measuring the AS-level forwarding path

– DARPA Knowledge Plane seedling

This talk

Interdomain Routing Convergence ChallengesInterdomain Routing Convergence Challenges

Must scale– Destination address blocks: 150,000 and growing

– Autonomous Systems: 17,500 visible ones, and growing

– AS paths and routers: at least in the millions…

Must support flexible policy– Path selection: selecting which path your AS wants to use

– Path export: controlling who can send packets through your AS

Must converge, and quickly– VoIP and video games need convergence in tens of milliseconds

– Routing protocol convergence can take several (tens of) minutes

– … and the routing system doesn’t necessarily converge at all!Goal: Guaranteed convergence of the global routing system with purely local control.

Interdomain Routing: Border Gateway ProtocolInterdomain Routing: Border Gateway Protocol

ASes exchange info about who they can reach– IP prefix: block of destination IP addresses

– AS path: sequence of ASes along the path

Policies configured by the AS’s network operator– Path selection: which of the paths to use?

– Path export: which neighbors to tell?

1 2 3

12.34.158.5

“I can reach 12.34.158.0/24”

“I can reach 12.34.158.0/24 via AS 1”

data traffic data traffic

Conflicting Policies Cause Convergence ProblemsConflicting Policies Cause Convergence Problems

0

1

23

1 2 01 0

2 3 02 0

3 1 03 0

Pick the highest-ranked path consistent with your neighbors’ choices.

Only choice!

Top choice!

Only choice!

Better choice!

Only choice!

Better choice!

Global Control is Not WorkableGlobal Control is Not Workable

Create a global Internet routing registry– Keeping the registry up-to-date would be difficult

Require each AS to publish its routing policies– ASes may be unwilling to reveal BGP policies

Check for conflicting policies, and resolve conflicts– Checking for convergence problems is NP-complete

– Link/router failure may result in an unstable system

Need a solution that does not require global coordination.

Think Globally, Act LocallyThink Globally, Act Locally

Key features of a good solution– Flexibility: allow diverse local policies for each AS

– Privacy: do not force ASes to divulge their policies

– Backwards-compatibility: no changes to BGP

– Guarantees: convergence even when system changes

Restrictions based on AS relationships– Path selection rules: which route you prefer

– Export policies: who you tell about your route

– AS graph structure: who is connected to who

Customer-Provider RelationshipCustomer-Provider Relationship

Customer pays provider for access to the Internet– Provider exports its customer’s routes to everybody

– Customer exports provider’s routes only to downstream customers

d

d

provider

customer

customer

provider

Traffic to the customer Traffic from the customer

advertisements

traffic

Peer-Peer RelationshipPeer-Peer Relationship

Peers exchange traffic between their customers – AS exports only customer routes to a peer

– AS exports a peer’s routes only to its customers

peerpeer

Traffic to/from the peer and its customers

d

advertisements

traffic

Hierarchical AS RelationshipsHierarchical AS Relationships

Provider-customer graph is a directed, acyclic graph– If u is a customer of v and v is a customer of w

– … then w is not a customer of u

u

v

w

Our Our LocalLocal Path Selection Rules Path Selection Rules

Classify routes based on next-hop AS– Customer routes, peer routes, and provider routes

Rank routes based on classification– Prefer customer routes over peer and provider routes

Allow any ranking of routes within a class– E.g., can rank one customer route higher than another

– Gives network operators the flexibility they need

Consistent with traffic engineering practices– Customers pay for service, and providers are paid

– Peer relationship contingent on balanced traffic load

Solving the Convergence ProblemSolving the Convergence Problem Restrictions

– Export policies based on AS relationships

– Path selection rule that favors customer routes

– Acyclic provider-customer graph Result

– Safety: guaranteed convergence to a unique stable solution

– Inherent safety: holds under failures and policy changes Sketch of (constructive) proof

– System state: the current best route at each AS, for one prefix

– Activating an AS: revisiting decision based on neighbors’ choices

– Stable state: find an activation sequence that leads to a stable state

– Convergence: any “fair” sequence includes this sequence

Proof, Phase 1: Selecting Customer RoutesProof, Phase 1: Selecting Customer Routes

Activate ASes in customer-provider order– AS picks a customer route if one exists

– Decision of one AS cannot cause an earlier AS to change its mind

0

1 2

3

d

An AS picks a customer route when one exists

Proof, Phase 2: Selecting Peer and Provider RoutesProof, Phase 2: Selecting Peer and Provider Routes

Activate rest of ASes in provider-customer order– Decision of one phase-2 AS cannot cause an earlier

phase-2 AS to change its mind

– Decision of phase-2 AS cannot affect a phase 1 AS

0

1 2

3

8 7

6 5

4AS picks a peer or provider route when no customer route is available

d

Economic Incentives Affect Protocol BehaviorEconomic Incentives Affect Protocol Behavior

ASes already follow our rules, so system is stable– High-level argument

» Export and topology assumptions are reasonable

» Path selection rule matches with financial incentives

– Empirical results [IMW’02]» BGP routes for popular destinations are stable for ~10 days

» Most instability from failure/recovery of a few destinations

ASes should follow our rules to make system stable– Need to encourage operators to obey these guidelines

– … and provide ways to verify the network configuration

– Need to consider more complex relationships and graphs

Playing One Condition Off Against AnotherPlaying One Condition Off Against Another

All three conditions are important– Path ranking, export policy, and graph structure

Allowing more flexibility in ranking routes– Allow same preference for peer and customer routes

– Never choose a peer route over a shorter customer route

… at the expense of stricter AS graph assumptions– Hierarchical provider-customer relationship (as before)

– No private peering with (direct or indirect) providers

Peer-peer

Extension to Backup Relationships Extension to Backup Relationships [INFOCOM’01][INFOCOM’01]

Backups: more liberal export policies, and different ranking– The motivation is increased reliability

– …but ironically it may cause routing instability!

Generalize rule: prefer routes with fewest backup links– Need to maintain a count of the # of backup links in the path

backup pathprimaryprovider

backupproviderfailure

Backup Provider

backup pathfailure

peer

provider

Peer-Peer Backup [RFC 1998]

Results Hold Under More Complex ScenariosResults Hold Under More Complex Scenarios

Complex AS relationships– AS pair with different relationship for different prefixes

– AS pair with both a backup and a peer relationships

– AS providing transit service between two peer ASes

Stability under changing AS relationships– Customer-provider to/from peer-peer

– Customer-provider to/from provider-customer

ConclusionsConclusions

Avoiding convergence problems– Hierarchical AS relationships

– Export policies based on commercial relationships

– Path ranking based on AS relationships

Salient features– No global coordination (locally implementable)

– No changes to BGP protocol or decision process

– Guaranteed convergence, even under failures

– Guidelines consistent with financial incentives

Broader Influence of the WorkBroader Influence of the Work

Influence of AS relationships on BGP convergence– Algebraic framework and design principles for policy languages

– Fundamental limits on relaxing the assumptions Application of the idea to internal BGP inside an AS

– Sufficient conditions for iBGP convergence inside an AS

– “What-if” tool for traffic engineering inside an AS AS-level analysis of the Internet topology

– Inference of AS relationships and policies from routing data

– Characterization of AS-level topology and growth Practical applications of knowing AS relationships

– Analyzing your competitors’ business relationships

– Identifying BGP routes that violate export conditions

Longer-Term Agenda: Internet Routing ArchitectureLonger-Term Agenda: Internet Routing Architecture

Internet routing architecture– Routing Control Point for moving intelligence out of the routers

– Distributed troubleshooting

Router, protocol, and language extensions– Protocol extensions for troubleshooting

– Measurement support in routers

– Configuration language design

Campus, enterprise, municipal, and regional networks– Fertile ground for new research problems

– New sources of measurement data and impact


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