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Measuring ISP topologies with Rocketfuel Ratul Mahajan Neil Spring David Wetherall University of Washington ACM SIGCOMM 2002

Measuring ISP topologies with Rocketfuel

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Measuring ISP topologies with Rocketfuel. Ratul Mahajan Neil Spring David Wetherall University of Washington ACM SIGCOMM 2002. Motivation. To understand Internet structure and design. How ISP router-level topologies are designed. Can’t get the real maps. - PowerPoint PPT Presentation

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Page 1: Measuring ISP topologies  with Rocketfuel

Measuring ISP topologies with Rocketfuel

Ratul Mahajan

Neil Spring

David Wetherall

University of WashingtonACM SIGCOMM 2002

Page 2: Measuring ISP topologies  with Rocketfuel

Motivation

• To understand Internet structure and design.– How ISP router-level topologies are designed.

• Can’t get the real maps.– Backbone maps often available in marketing

form.– Severely lacking in router-level detail.

Page 3: Measuring ISP topologies  with Rocketfuel

ISP topologies for research

• Could extract from a Whole-Internet map:eg. Skitter, Mercator, Lumeta.

• Paper’s Philosophy:– By focusing on an ISP, can get better

precision.– ISPs publish enough information to reconstruct

maps.– End goal is more accurate maps for research.

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Terminology

• Each POP is a physical location where the ISP houses a collection of routers.

• The ISP backbone connects these POPs, and the routers attached to inter-POP links are called backbone or core routers.

• Within every POP, access routers provide an intermediate layer between the ISP backbone and routers in neighboring networks.

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Page 7: Measuring ISP topologies  with Rocketfuel

Points of Presence and Backbone

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Rocketfuel’s Backbone Map

They aren’t telling us everything…

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Rocketfuel Methodology

• ISPs release “helpful” information:– BGP - which prefixes are served– Traceroute - what the paths are– DNS - where routers are and what they do

• Build detailed maps:– Backbone– POPs– Peering links

Page 11: Measuring ISP topologies  with Rocketfuel

Traceroutes

• Publicly available traceroute servers

• Challenge: To build accurate ISP maps using few measurements

• Brute Force Method– 784 vantage points to 120,000 allocated

prefixed in BGP table– Queried every 1.5 minutes: 125 days to

complete a map.

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Directed probing

• Capitalize on routing information• Identify traceroutes which transit the ISP network

Example : AS 7

Dependent Prefixes: 4.5.0.0/16

Insiders : 4.5.0.0/16

Up/down traces: AS 11 to 1.2.3.0/24

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Path Reductions

Ingress Reduction

Next-hop AS Reduction

Egress Reduction

T1 and T2 enter the ISP at the same point on the way to the same destinationPaths to P1 and P2 leave the ISP at the same point

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Reduction Effectiveness

• Brute force : 90-150 million traceroutes required

• BGP directed probes : 0.2-15 million traceroutes required

• Executed after path reduction : 8-300 thousand traceroutes required

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Location and Role Discovery

• Where is this router located? use DNS names S1-bb11-nyc-3-0.sprintlink.net is a Sprint router in New York City

use connectivity information if a router connects only to router in Seatles, it is in Seattle

• What role does this router play in the topology? only backbone routers connect to other cities use DNS names s1-gw2-sea-3-1.sprintlink.net is a Sprint gateway router

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Alias resolution problem

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Alias resolution solution

• Send a packet to each interface to solicit responses.• Previous work - responses have the same source:

Routers often set source address to outgoing interface• New approach –

– responses have nearby IP identifiers:– IP ID is commonly set from a counter.

• Alias resolution optimization• Sort by DNS name - find aliases quickly

• Cluster by return TTL - rule out many addresses

• ALLY found 2.8 times as many

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IP ID method

• x<y<z, z-x small likely aliases• If |x-y|>200

Aliases are disqualified, third packet is not sent

Page 19: Measuring ISP topologies  with Rocketfuel

ISP MAPS

Page 20: Measuring ISP topologies  with Rocketfuel

AT & T

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Sprint

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Level 3

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Telstra

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POP Structure

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Completeness

• Validation with ISPs– Good to excellent– Hesitant to reveal customer data

• Scanning IP addresses

• Comparison with Routeviews– Number of BGP adjacencies– Worst case 70%

• Skitter– Seven times as many links and routers

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Impact of reductions

• Ingress and Egress reductions

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Next HOP ASs

• Specially beneficial for Insiders

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Analysis

• POP Sizes– All skewed– Most routers present in ten largest POPs– Sprint: 60% POPs : less than 20% of Sprint routers

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Router Degree Distribution

• Small range in data– Layer 2 switches unaccounted

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Peering Structure

• Advantage here: Where and how many places do two ISPs connect

• Highly skewed for all ISPs: