异质化带宽分配下的复杂网络数据流负载问题研究

研究了带有连接边传输容量(带宽)约束的复杂网络上如何提升网络数据流负载问题. 在网络连接边带宽资源总量固定的条件下, 提出了一种异质化带宽分配方案. 引入 "受控边" 概念, 通过加入适当比例的 "受控边", 重新分配带宽资源, 并结合具有拥塞感知能力路由策略的数据流量模型, 利用带宽分配调节数据流量走向, 提高了带宽利用效率, 最终使得网络整体的负载能力较带宽匀质化分配时有显著提升. 分别在Barabási-Albert无标度网络和Watts-Strogtz (WS)小世界网络平台上仿真, 发现按照本文的带宽分配方案, WS小世界网络中节点连接边带宽与网络负载有较强的相关性, 节点连接边带宽分配最均衡的时候, 网络负载能力达到最大. 关键词： 异质化带宽分配 负载 介数 受控边

Traffic dynamics of the complex networks with the heterogeneous bandwidth allocation

How to improve the network traffic capacity (load), in complex networks with the connection edge by which the transmission capacity (bandwidth) is limited, is the main subject of the research in this paper. We propose a heterogeneous bandwidth allocation scheme under the condition of the fixed total bandwidth resource of the network. With an appropriate proportion of 'controlled edge', the bandwidth resource is reallocated in the network. According to the data flow model, with congestion awareness routing strategy, bandwidth allocation we proposed can adjust the data flow and improve the efficiency of bandwidth utilization. Finally, the network traffic capacity is significantly improved compared with the one in the homogeneous bandwidth allocation. Meanwhile, it does not destroy the premise of the network topology by using our bandwidth allocation. In this paper, we make a series of simulation using the heterogeneous bandwidth allocation in the Barabási-Albert scale-free network and the Watts-Strogats (WS) small world network, and find that there is a strong correlation between the network traffic capacity and the bandwidth of vertex in the WS network.
Keywords： heterogeneous bandwidth allocation load betweenness controlled edge