Percolation on Multi-layer Network with Joint Storage and Processing Capacities

Chao Yang, Z. Chen
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引用次数: 2

Abstract

Researches on routing and traffic have provided a general way of network dynamics simulation. However, these works usually fix the processing capacity of network elements and ignore the relationship between the processing capacity and storage capacity. This paper introduces a multi-layer network model coupled with Macroscopic Fundamental Diagram (MFD) to couple these two capacities. Percolation on the model has been employed revealing that adjustable parameters such as selection coefficient, storage capacity and dumping coefficient have different effects on the robustness and functionality of our model. And result also shows that the robustness and functionality are contradictory on the model.
具有联合存储和处理能力的多层网络的渗流
路由和流量的研究为网络动力学仿真提供了一种通用的方法。然而,这些工作通常固定了网元的处理能力,而忽略了处理能力与存储能力之间的关系。本文引入了一种多层网络模型,结合宏观基本图(MFD)来耦合这两种能力。模型上的渗透效应表明,选择系数、存储容量和倾倒系数等可调参数对模型的鲁棒性和功能性有不同的影响。结果还表明,该模型的鲁棒性和功能性是矛盾的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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