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Center for Applied Internet Data Analysis > publications : papers : 2006 : impl_top_discovery_algorithm
Implementation and Deployment of a Distributed Network Topology Discovery Algorithm
B. Donnet, B. Huffaker, T. Friedman, and k. claffy, "Implementation and Deployment of a Distributed Network Topology Discovery Algorithm", Tech. rep., arXiv cs.NI/060362, Mar 2006.
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Implementation and Deployment of a Distributed Network Topology Discovery Algorithm

Benoit Donnet1, 2
Bradley Huffaker1
Timur Friedman2
kc claffy1

CAIDA, San Diego Supercomputer Center, University of California San Diego


Laboratoire LiP6/CNRS
Université Pierre & Marie Curie

In the past few years, the network measurement community has been interested in the problem of internet topology discovery using a large number (hundreds or thousands) of measurement monitors. The standard way to obtain information about the internet topology is to use the traceroute tool from a small number of monitors. Recent papers have made the case that increasing the number of monitors will give a more accurate view of the topology. However, scaling up the number of monitors is not a trivial process. Duplication of effort close to the monitors wastes time by reexploring well-known parts of the network, and close to destinations might appear to be a distributed denialof service (DDoS) attack as the probes converge from a set of sources towards a given destination. In prior work, authors of this report proposed Doubletree, an algorithm for cooperative topology discovery, that reduces the load on the network, i.e., router IP interfaces and end-hosts, while discovering almost as many nodes and links as standard approaches based on traceroute. This report presents our open-source and freely downloadable implementation of Doubletree in a tool we call traceroute@home. We describe the deployment and validation of traceroute@home on the PlanetLab testbed and we report on the lessons learned from this experience. We discuss how traceroute@home can be developed further and discuss ideas for future improvements.

Keywords: measurement methodology, software/tools, topology
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