Analyzing the Evolution and the Future of the Internet Topology Focusing on Flow Hierarchy

In the Internet, Autonomous Systems (ASes) exchange traffic through interconnected links. As traffic demand increases, more traffic becomes concentrated on such links. The traffic concentrations depend heavily on the global structure of the Internet topology. Therefore, a topological evolution consi...

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Main Authors: Yu Nakata, Shin’ichi Arakawa, Masayuki Murata
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Journal of Computer Networks and Communications
Online Access:http://dx.doi.org/10.1155/2015/736870
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spelling doaj-042fb14cd00f42f9984d142585896ced2020-11-24T21:48:42ZengHindawi LimitedJournal of Computer Networks and Communications2090-71412090-715X2015-01-01201510.1155/2015/736870736870Analyzing the Evolution and the Future of the Internet Topology Focusing on Flow HierarchyYu Nakata0Shin’ichi Arakawa1Masayuki Murata2Graduate School of Information, Science and Technology, Osaka University, 1-5, Yamadaoka, Suita, Osaka 565-0871, JapanGraduate School of Information, Science and Technology, Osaka University, 1-5, Yamadaoka, Suita, Osaka 565-0871, JapanGraduate School of Information, Science and Technology, Osaka University, 1-5, Yamadaoka, Suita, Osaka 565-0871, JapanIn the Internet, Autonomous Systems (ASes) exchange traffic through interconnected links. As traffic demand increases, more traffic becomes concentrated on such links. The traffic concentrations depend heavily on the global structure of the Internet topology. Therefore, a topological evolution considering the global structure is necessary to continually accommodate future traffic amount. In this paper, we first develop a method to identify the hierarchical nature of traffic aggregation on the Internet topology and use this method to discuss the long-term changes in traffic flow. Our basic approach is to extract the “flow hierarchy,” which is a hierarchical structure associated with traffic aggregation. Our results show that the current connection policy will lead to a severe traffic concentration in the future. We then examine a new evolution process that attempts to reduce this traffic concentration. Our proposed evolution process increases the number of links in the deeper level in the hierarchy, thus relaxing the traffic concentration. We apply our evolution process to the Internet topology in 2000 and evolve this scenario over 13 years. The results show that our evolution process could reduce the traffic concentration by more than half compared with that without our evolution process.http://dx.doi.org/10.1155/2015/736870
collection DOAJ
language English
format Article
sources DOAJ
author Yu Nakata
Shin’ichi Arakawa
Masayuki Murata
spellingShingle Yu Nakata
Shin’ichi Arakawa
Masayuki Murata
Analyzing the Evolution and the Future of the Internet Topology Focusing on Flow Hierarchy
Journal of Computer Networks and Communications
author_facet Yu Nakata
Shin’ichi Arakawa
Masayuki Murata
author_sort Yu Nakata
title Analyzing the Evolution and the Future of the Internet Topology Focusing on Flow Hierarchy
title_short Analyzing the Evolution and the Future of the Internet Topology Focusing on Flow Hierarchy
title_full Analyzing the Evolution and the Future of the Internet Topology Focusing on Flow Hierarchy
title_fullStr Analyzing the Evolution and the Future of the Internet Topology Focusing on Flow Hierarchy
title_full_unstemmed Analyzing the Evolution and the Future of the Internet Topology Focusing on Flow Hierarchy
title_sort analyzing the evolution and the future of the internet topology focusing on flow hierarchy
publisher Hindawi Limited
series Journal of Computer Networks and Communications
issn 2090-7141
2090-715X
publishDate 2015-01-01
description In the Internet, Autonomous Systems (ASes) exchange traffic through interconnected links. As traffic demand increases, more traffic becomes concentrated on such links. The traffic concentrations depend heavily on the global structure of the Internet topology. Therefore, a topological evolution considering the global structure is necessary to continually accommodate future traffic amount. In this paper, we first develop a method to identify the hierarchical nature of traffic aggregation on the Internet topology and use this method to discuss the long-term changes in traffic flow. Our basic approach is to extract the “flow hierarchy,” which is a hierarchical structure associated with traffic aggregation. Our results show that the current connection policy will lead to a severe traffic concentration in the future. We then examine a new evolution process that attempts to reduce this traffic concentration. Our proposed evolution process increases the number of links in the deeper level in the hierarchy, thus relaxing the traffic concentration. We apply our evolution process to the Internet topology in 2000 and evolve this scenario over 13 years. The results show that our evolution process could reduce the traffic concentration by more than half compared with that without our evolution process.
url http://dx.doi.org/10.1155/2015/736870
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