DocumentCode :
2721485
Title :
Subnet level network topology mapping
Author :
Tozal, M. Engin ; Sarac, Kamil
Author_Institution :
Dept. of Comput. Sci., Univ. of Texas at Dallas, Dallas, TX, USA
fYear :
2011
fDate :
17-19 Nov. 2011
Firstpage :
1
Lastpage :
8
Abstract :
Internet topology at the network layer consists of routers and subnets, i.e., point-to-point or multi-access connections. Network measurement studies have focused on router level maps and derived characteristics of routers such as mean degree, degree distribution, clustering coefficient and betweenness. Considering the fact that subnets are also important building blocks of the Internet topology, this paper introduces a complementary view of network topologies named subnet level maps. Subnet level network topology maps represent subnets as vertices and depict routers as links connecting the vertices/subnets. Additionally, we introduce a tool, called exploreNET, for subnet discovery. Although ExploreNET is based on the same principals as our recent work traceNET [21], it differs from traceNET in its utilization in various domains. Particularly, it allows us discover the underlying subnet level topology map of a network rather than the map dictated by routing dynamics. Finally, we present an evaluation of exploreNET by using it to discover and analyze various subnet characteristics including degree distribution, capacity distribution and utilization for six geographically disperse public Internet Service Providers (ISPs).
Keywords :
Internet; telecommunication network routing; telecommunication network topology; ISP; Internet service provider; Internet topology; capacity distribution; clustering coefficient; degree distribution; exploreNET; mean degree; multiaccess connection; network measurement; point-to-point connection; router level maps; subnet discovery; subnet level network topology mapping; traceNET; IP networks; Internet topology; Network topology; Probes; Routing; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Performance Computing and Communications Conference (IPCCC), 2011 IEEE 30th International
Conference_Location :
Orlando, FL
ISSN :
1097-2641
Print_ISBN :
978-1-4673-0010-0
Type :
conf
DOI :
10.1109/PCCC.2011.6108072
Filename :
6108072
Link To Document :
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