Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Modeling BGP table fluctuations|
|Citation:||Managing traffic performance in converged networks: 20th International Teletraffic Congress, ITC20 2007, Ottawa, Canada, June 17-21, 2007: proceedings / Lorne Mason, Tadeusz Drwiega, James Yan (eds.):pp.141-153|
|Part of:||Lecture Notes in Computer Science : 0302-9743|
|Series/Report no.:||Lecture Notes in Computer Science|
|Conference Name:||International Teletraffic Congress (20th : 2007 : Ottawa, Ont.)|
|Ashley Flavel, Matthew Roughan, Nigel Bean and Olaf Maennel|
|Abstract:||In this paper we develop a mathematical model to capture BGP table fluctuations. This provides the necessary foundations to study short- and long-term routing table growth. We reason that this growth is operationally critical for network administrators who need to gauge the amount of memory to install in routers as well as being a potential deciding factor in determining when the Internet community will run out of IPv4 address space. We demonstrate that a simple model using a simple arrival process with heavy tailed service times is sufficient to reproduce BGP dynamics including the “spiky” characteristics of the original trace data. We derive our model using a classification technique that separates newly added or removed prefixes, short-term spikes and long-term stable prefixes. We develop a model of non-stable prefixes and show it has similar properties in their magnitude and duration to those observed in recorded BGP traces.|
|Rights:||The original publication can be found at www.springerlink.com|
|Appears in Collections:||Environment Institute publications|
Mathematical Sciences publications
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.