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A Dynamic Flow-Regulation Algorithm for Networks Overload Control

A Dynamic Flow-Regulation Algorithm for Networks Overload Control
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摘要 In this paper,a dynamic flow-regulation algorithm-oriented network overload control is proposed.It can proportion-ally distribute the load between the high-degree nodes and the low-degree nodes.According to the theoretical analysis,the net-work transmission performance of the proposed algorithm is in inverse proportion to the usage rate of the high-degree nodes.Simulations show that the new algorithm is more flexible and can enhance the network capability in most circumstances compared with the shortest path routing algorithm.Moreover,the compari-son with the efficient routing algorism also reveals the prominent performance of the new algorithm. In this paper,a dynamic flow-regulation algorithm-oriented network overload control is proposed.It can proportion-ally distribute the load between the high-degree nodes and the low-degree nodes.According to the theoretical analysis,the net-work transmission performance of the proposed algorithm is in inverse proportion to the usage rate of the high-degree nodes.Simulations show that the new algorithm is more flexible and can enhance the network capability in most circumstances compared with the shortest path routing algorithm.Moreover,the compari-son with the efficient routing algorism also reveals the prominent performance of the new algorithm.
出处 《Wuhan University Journal of Natural Sciences》 CAS 2012年第2期103-108,共6页 武汉大学学报(自然科学英文版)
基金 Supported by the National Natural Science Foundation of China (60970114 , 41104010) the National Natural Science Foundation of Hubei Province (ZRZ0041) the Science and Technology Project of Wuhan City (201110921292) the Open Fund of the Ministry of Public Security of the Information Network Security Key Laboratory (C10607) the Independent Scientific Research Projects of the Wuhan University Graduate Student (201121102020002)
关键词 network congestion flow-regulation network sur-vivability network congestion flow-regulation network sur-vivability
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