TY - GEN
T1 - Node degree-aware link cost for traffic load-distribution in large-scale networks
AU - Tamura, Hitomi
AU - Köppen, Mario
AU - Uchida, Masato
AU - Tsuru, Masato
AU - Oie, Yuji
PY - 2011/12/1
Y1 - 2011/12/1
N2 - Traffic Engineering (TE) is required for reducing highly-loaded links / nodes in parts of a network, thereby distributing the traffic load in the network. For efficient use of network resources, it is important to efficiently map traffic demands to network resources. Therefore, we should consider an appropriate definition of "distance" in networks with the topological features of the network instead of traffic demands. Recent studies have demonstrated a scale-free property of network topology, and node outbound degree distribution is an important factor in the scale-free networks. This paper proposes a new definition of "distance" between two arbitrary communication nodes in the Internet by using node degree information for avoiding congestion in the network. Some simulation results show that the proposed scheme can distribute traffic load from high degree nodes to other nodes, and thus provides robustness of networks.
AB - Traffic Engineering (TE) is required for reducing highly-loaded links / nodes in parts of a network, thereby distributing the traffic load in the network. For efficient use of network resources, it is important to efficiently map traffic demands to network resources. Therefore, we should consider an appropriate definition of "distance" in networks with the topological features of the network instead of traffic demands. Recent studies have demonstrated a scale-free property of network topology, and node outbound degree distribution is an important factor in the scale-free networks. This paper proposes a new definition of "distance" between two arbitrary communication nodes in the Internet by using node degree information for avoiding congestion in the network. Some simulation results show that the proposed scheme can distribute traffic load from high degree nodes to other nodes, and thus provides robustness of networks.
UR - http://www.scopus.com/inward/record.url?scp=84857166297&partnerID=8YFLogxK
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U2 - 10.1109/INCoS.2011.126
DO - 10.1109/INCoS.2011.126
M3 - Conference contribution
AN - SCOPUS:84857166297
SN - 9780769545790
T3 - Proceedings - 3rd IEEE International Conference on Intelligent Networking and Collaborative Systems, INCoS 2011
SP - 299
EP - 304
BT - Proceedings - 3rd IEEE International Conference on Intelligent Networking and Collaborative Systems, INCoS 2011
T2 - 3rd IEEE International Conference on Intelligent Networking and CollaborativeSystems, INCoS 2011
Y2 - 30 November 2011 through 2 December 2011
ER -