DocumentCode
3177374
Title
Bipartite Internet topology at the subnet-level
Author
Akgun, Mehmet Burak ; Gunes, Mehmet Hadi
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of Nevada, Reno, NV, USA
fYear
2013
fDate
April 29 2013-May 1 2013
Firstpage
94
Lastpage
97
Abstract
Internet topology modeling involves capturing crucial characteristics of the Internet in producing synthetic network graphs. Selection of vital metrics is limited by our understanding of the Internet topology, which relies on the state of the art measurement studies. Recent measurement studies indicate that underlying subnetworks, multi-access links providing one-hop connectivity to multiple nodes, are an important factor shaping the topology of the Internet. Current network models utilize point-to-point edges that can connect exactly two vertices of the topology. Decomposition of the underlying multi-access links into pairwise point-to-point edges results in cliques and is an oversimplification of the analyzed networks. Accurate modeling of multi-access links require special type of edges, i.e. hyper-edges, that can connect multiple vertices in a hyper-graph. Hyper-graphs are best illustrated as bipartite graphs where hyper-edges connect two types of vertices, i.e., router interfaces and subnets. In this paper, we introduce a bipartite model of the Internet topology and discuss representative synthetic network generation.
Keywords
Internet; graph theory; multi-access systems; network theory (graphs); telecommunication links; telecommunication network routing; telecommunication network topology; Internet characteristics; bipartite Internet topology modeling; cliques; hyper-edges; multiaccess link decomposition; multiaccess link modeling; one-hop connectivity; pairwise point-to-point edges; point-to-point edges; router interfaces; subnet-level; synthetic network generation; synthetic network graphs; topology vertices; Artificial neural networks; Generators; IP networks; Internet topology; Network topology; Topology; 2-mode; Hyper-graph; Internet topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Science Workshop (NSW), 2013 IEEE 2nd
Conference_Location
West Point, NY
Print_ISBN
978-1-4799-0436-5
Type
conf
DOI
10.1109/NSW.2013.6609200
Filename
6609200
Link To Document