Title :
Analytical IP Alias Resolution
Author :
Gunes, Mehmet H. ; Sarac, Kamil
Author_Institution :
Department of Computer Science, University of Texas at Dallas, Richardson, TX 75080, USA. Email: mgunes@utdallas.edu
Abstract :
IP alias resolution is an important step in generating sample Internet topologies from collected path traces. Inaccuracies in IP alias resolution may significantly affect the characteristics of the resulting sample topologies. This in turn affects the accuracy of measurement results obtained using such topologies. Existing tools for alias resolution use an active probing approach. They induce significant traffic overhead into the network and critically depend on the participation of the routers. Recent studies have reported on the limited effectiveness of these approaches [1], [2]. In this paper, we present a novel approach, called Analytical Alias Resolver (AAR), for IP alias resolution. Given a set of path traces, AAR utilizes the common IP address assignment scheme to infer IP aliases from the collected path traces. AAR does not incur traffic overhead due to active probing for alias resolution. Our experimental evaluations on a set of collected Internet path traces show that, compared to existing approaches, AAR can detect significantly more number of IP aliases.
Keywords :
Computer errors; Computer science; Extraterrestrial measurements; IP networks; Internet; Network topology; Probes; Robustness; Spine; Telecommunication traffic;
Conference_Titel :
Communications, 2006. ICC '06. IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
1-4244-0355-3
Electronic_ISBN :
8164-9547
DOI :
10.1109/ICC.2006.254770