| Quantifying path exploration in the internet |
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IEEE/ACM Transactions on Networking (TON)
archive
Volume 17 , Issue 2 (April 2009)
table of contents
Pages 445-458
Year of Publication: 2009
ISSN:1063-6692
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Authors
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Ricardo Oliveira
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Computer Science Department, University of California, Los Angeles, CA
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Beichuan Zhang
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Computer Science Department, University of Arizona, Tucson, AZ
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Dan Pei
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AT&T Labs-Research, Florham Park, NJ
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Lixia Zhang
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Computer Science Department, University of California, Los Angeles, CA
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IEEE Press
Piscataway, NJ, USA
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Downloads (6 Weeks): 17, Downloads (12 Months): 75, Citation Count: 0
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ABSTRACT
Previous measurement studies have shown the existence of path exploration and slow convergence in the global Internet routing system, and a number of protocol enhancements have been proposed to remedy the problem. However, existing measurements were conducted only over a small number of testing prefixes. There has been no systematic study to quantify the pervasiveness of Border Gateway Protocol (BGP) slow convergence in the operational Internet, nor any known effort to deploy any of the proposed solutions. In this paper, we present our measurement results that identify BGP slow convergence events across the entire global routing table. Our data shows that the severity of path exploration and slow convergence varies depending on where prefixes are originated and where the observations are made in the Internet routing hierarchy. In general, routers in tier-1 Internet service providers (ISPs) observe less path exploration, hence they experience shorter convergence delays than routers in edge ASs; prefixes originated from tier-1 ISPs also experience less path exploration than those originated from edge ASs. Furthermore, our data show that the convergence time of route fail-over events is similar to that of new route announcements and is significantly shorter than that of route failures. This observation is contrary to the widely held view from previous experiments but confirms our earlier analytical results. Our effort also led to the development of a path-preference inference method based on the path usage time, which can be used by future studies of BGP dynamics.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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