The NLANR Network Analysis Infrastructure

McGregor, Tony; Braun, Hans-Werner; Brown, Jeremy

doi:10.1109/35.841836

Cited by 112 publications

(46 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Today's most extensiv e tracing system, skitter [2], uses 24 monitors, each targeting on the order of one million destinations. Other well known systems, such as RIPE NCC TTM [3] and NLANR AMP [4], conduct a full mesh of traceroutes between on the order of one-to two-hundred monitors. An attempt to scale either of these approaches to thousands of monitors would encounter problems from the significantly higher traffic lev els it would generate and from the explosion in the data it would collect.…”

Section: Introductionmentioning

confidence: 99%

Improved Algorithms for Network Topology Discovery

Donnet

Friedman

Crovella

2005

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. Topology discovery systems are starting to be introduced in the form of easily and widely deployed software. However, little consideration has been given as to how to perform large-scale topology discovery efficiently and in a network-friendly manner. In prior work, we have described how large numbers of traceroute monitors can coordinate their efforts to map the network while reducing their impact on routers and end-systems. The key is for them to share information regarding the paths they have explored. However, such sharing introduces considerable communication overhead. Here, we show how to improve the communication scaling properties through the use of Bloom filters to encode a probing stop set. Also, any system in which every monitor traces routes towards every destination has inherent scaling problems. W e propose capping the number of monitors per destination, and dividing the monitors into clusters, each cluster focusing on a different destination list.

show abstract

Section: Introductionmentioning

confidence: 99%

Improved Algorithms for Network Topology Discovery

Donnet

Friedman

Crovella

2005

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…It took 18 months to produce a working prototype responding to real network monitoring data that has the ability to increase users' situational awareness of network security issues [52][53]. At present, we are finalizing the coding of VisAlert into software so that final on site and on demand tests could be performed before commercialization and/or adaptable deployment may be pursued (phase 7)…”

Section: Infovis Design Work In Network Monitoring and Securitymentioning

confidence: 99%

Architectural Research in Information Visualization: 10 Years after

Bermúdez

Agutter

Foresti

2006

International Journal of Architectural Computing

View full text Add to dashboard Cite

As our civilization dives deeper into the information age, making sense of ever more complex and larger amounts of data becomes critical.This article reports on interdisciplinary work in Information Visualization addressing this challenge and using architectural expertise as its main engine.The goal of this research is to significantly improve real time decision making in complex data spaces while devising a new architecture that responds to complex information environments. Although we have been reporting in aspects of this work for the past 7 years, this paper covers unpublished knowledge, design methods, operational strategies, and other details that bring together all the material published by our group thus far into a comprehensive and useful whole.We conclude by presenting our latest InfoVis design work in Network Security.

show abstract

“…NLANR's Active Measurement Project (AMP) [32] performed active measurements connected by high performance IPv4 networks. 150 AMP monitors were deployed and take site-to-site measurements, mainly throughout the United States.…”

Section: Traceroute-based Projectsmentioning

confidence: 99%

Internet Topology Discovery

Donnet

2013

Data Traffic Monitoring and Analysis

View full text Add to dashboard Cite

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.

show abstract

The NLANR Network Analysis Infrastructure

Cited by 112 publications

References 1 publication

Improved Algorithms for Network Topology Discovery

Improved Algorithms for Network Topology Discovery

Architectural Research in Information Visualization: 10 Years after

Internet Topology Discovery

Contact Info

Product

Resources

About