A Radar for the Internet

Latapy, Matthieu; Magnien, Clémence; Ouédraogo, Frédéric

doi:10.1109/icdmw.2008.121

Cited by 27 publications

(14 citation statements)

References 20 publications

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“…Among the early contributions, there is [16]. Their authors proposed a tool RADAR to measure efficiently around single monitor.…”

Section: Related Workmentioning

confidence: 99%

“…These measurements are done with parameters to whom the relevance has been shown by these authors [16]. Among these parameters there are 3 000 destinations, 10 minutes between two consecutive TRACETREE measurements, random choice of destinations and monitors.…”

Section: Datasetmentioning

confidence: 99%

“…Over years, important improvement have been made to get fast and an efficient dynamics measurement tool [16], [8], [20], [6], [5].…”

Section: Related Workmentioning

confidence: 99%

“…Earlier work on the Internet dynamics has concerned mainly the measurement challenge. One of the important results has introduced the ego-centered views of the Internet dynamics and provides measurement tool and data [16].…”

Section: Introductionmentioning

confidence: 99%

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Impact of IP Addresses Localization on the Internet Dynamics Measurement

Ouédraogo¹,

Guinko²

2016

ijacsa

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Abstract-Many projects have sought to measure the dynamics of the Internet by using end-to-end measurement tools. The RADAR tool has been designed in this context. It consists in periodically tracing the routes from a monitor toward a set of destinations, IP addresses chosen randomly in the Internet. However, the localization of these destinations on the topology has a significant influence on the observed dynamics.We study the dynamics observed when the destinations are localized at a country scale. We show that this localization may lead to observe a different dynamics. The local dynamics observed in our case is mainly a routing dynamics whereas the loadbalancing dominates the entire Internet dynamics.

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“…Among the early contributions, there is [16]. Their authors proposed a tool RADAR to measure efficiently around single monitor.…”

Section: Related Workmentioning

confidence: 99%

Section: Datasetmentioning

confidence: 99%

“…Over years, important improvement have been made to get fast and an efficient dynamics measurement tool [16], [8], [20], [6], [5].…”

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Impact of IP Addresses Localization on the Internet Dynamics Measurement

Ouédraogo¹,

Guinko²

2016

ijacsa

View full text Add to dashboard Cite

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“…Effect of load-balancing on traceroute exploration without warning. Speeding up the probing process is also supposed to improve the topology vision because network dynamics could be better captured [48,49]. Second, traceroute probes are subject to load balancing, leading to the inference of false links between IP interfaces.…”

Section: Limitationsmentioning

confidence: 99%

Internet Topology Discovery

Donnet

2013

Data Traffic Monitoring and Analysis

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Abstract. Since the nineties, the Internet has seen an impressive growth, in terms of users, intermediate systems (such as routers), autonomous systems, or applications. In parallel to this growth, the research community has been looking for obtaining and modeling the Internet topology, i.e., how the various elements of the network interconnect between themselves. An impressive amount of work has been done regarding how to collect data and how to analyse and model it. This chapter reviews main approaches for gathering Internet topology data. We first focus on hop limited probing, i.e., traceroute-like probing. We review large-scale tracerouting projects and discuss traceroute limitations and how they are mitigated by new techniques or extensions. Hop limited probing can reveal an IP interface vision of the Internet. We next focus on techniques for aggregating several IP interfaces of a given router into a single identifier. This leads to a router level vision of the topology. The aggregation can be done through a process called alias resolution. We also review a technique based on IGMP probing that silently collect all multicast interfaces of a router into a single probe. We next refine the router level topology by adding subnet information. We finish this chapter by discussing the AS level topology, in particular the relationships between ASes and the induced hierarchy.

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