通信网络中传输的统计特性
Statistical Characterizers of Transport in a Communication Network
摘要：
我们确定的统计特征的拥塞和去拥塞的消息传输模型通信格。这些原来是旅行时间分布，这是高斯在拥挤的阶段，对数正态在去拥挤的阶段。我们的结果证明了二维晶格，如Waxman图，和晶格与本地聚类和地理分离，梯度连接，以及为1-D环格随机连接。分布的行为正确地识别这些不同的网络拓扑和去拥塞策略的拥塞和去拥塞阶段。系统的等待时间分布也表现出相同的签名的拥挤和去拥挤阶段。
英文摘要：
We identify the statistical characterizers of congestion and decongestion for message transport in model communication lattices. These turn out to be the travel time distributions, which are Gaussian in the congested phase, and log-normal in the decongested phase. Our results are demonstrated for two dimensional lattices, such the Waxman graph, and for lattices with local clustering and geographic separations, gradient connections, as well as for a 1-d ring lattice with random assortative connections. The behavior of the distribution identifies the congested and decongested phase correctly for these distinct network topologies and decongestion strategies. The waiting time distributions of the systems also show identical signatures of the congested and decongested phases.
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