2009Unpublished venueRequires access

Optimization of network traffic

Mao-Bin Hu, Rui Jiang, Ruili Wang, Wenbo Du, Qing-Song Wu

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Abstract

A network traffic system can be tuned by three factors: (i) the topology of underlying infrastructure; (ii) the distribution of traffic resources; (iii) the routing strategy. In this paper, we propose a model to study the optimization of network capacity based on complex network theory. We study the optimization method of network traffic in several situations corresponding to the real cases. The model is proposed mainly for the information traffic system. It can also be modified to characterize the behavior of an urban traffic system. Our study can benefit the modern communication networks, urban transportation systems, airline traffic, and power grids.

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What this paper is about

A network traffic system can be tuned by three factors: (i) the topology of underlying infrastructure; (ii) the distribution of traffic resources; (iii) the routing strategy. In this paper, we propose a model to study the optimization of network capacity based on complex network theory. We study the optimization method of network traffic in several situations corresponding to the real cases. The model is proposed mainly for the information traffic system. It can also be modified to characterize the behavior of an urban traffic system. Our study can benefit the modern communication networks, urban transportation systems, airline traffic, and power grids.

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Available abstract

A network traffic system can be tuned by three factors: (i) the topology of underlying infrastructure; (ii) the distribution of traffic resources; (iii) the routing strategy. In this paper, we propose a model to study the optimization of network capacity based on complex network theory. We study the optimization method of network traffic in several situations corresponding to the real cases. The model is proposed mainly for the information traffic system. It can also be modified to characterize the behavior of an urban traffic system. Our study can benefit the modern communication networks, urban transportation systems, airline traffic, and power grids.

Key concepts: Traffic generation model, Computer science, Network topology, Network traffic simulation, Traffic network, Routing (electronic design automation), Computer network, Network traffic control

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