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Evolution of the Internet AS-level topology:From nodes and edges to components

机译:Internet AS级拓扑的演变:从节点和边缘到组件

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摘要

Studying the topology of infrastructure communication networks (e.g., the Internet) has become a means to under-stand and develop complex systems. Therefore, investigating the evolution of Internet network topology might elucidate disciplines governing the dynamic process of complex systems. It may also contribute to a more intelligent communication network framework based on its autonomous behavior. In this paper, the Internet Autonomous Systems (ASes) topology from 1998 to 2013 was studied by deconstructing and analysing topological entities on three different scales (i.e., nodes, edges and 3 network components: single-edge component M1, binary component M2 and triangle component M3). The results indicate that: a) 95%of the Internet edges are internal edges (as opposed to external and boundary edges);b) the Internet network consists mainly of internal components, particularly M2 internal components; c) in most cases, a node initially connects with multiple nodes to form an M2 component to take part in the network;d) the Internet network evolves to lower entropy. Furthermore, we find that, as a complex system, the evolution of the Internet exhibits a behavioral series, which is similar to the biological phenomena concerned with the study on metabolism and replication. To the best of our knowledge, this is the first study of the evolution of the Internet network through analysis of dynamic features of its nodes, edges and components, and therefore our study represents an innovative approach to the subject.
机译:研究基础设施通信网络(例如,互联网)的拓扑已经成为理解和开发复杂系统的手段。因此,调查Internet网络拓扑的演变可能会阐明管理复杂系统动态过程的学科。它还可以基于其自主行为为更智能的通信网络框架做出贡献。本文通过对三种不同尺度(即节点,边和3个网络组件:单边组件M1,二进制组件M2和三角形)的拓扑实体进行解构和分析,研究了1998年至2013年的Internet自治系统(ASes)拓扑。组件M3)。结果表明:a)95%的Internet边缘是内部边缘(与外部和边界边缘相对); b)Internet网络主要由内部组件组成,尤其是M2内部组件; c)在大多数情况下,一个节点最初与多个节点连接以形成M2组件以参与网络; d)Internet网络逐渐发展为熵较低。此外,我们发现,作为一个复杂的系统,Internet的进化表现出一个行为系列,类似于与代谢和复制研究相关的生物学现象。据我们所知,这是通过分析互联网的节点,边缘和组件的动态特征,对互联网的发展进行的首次研究,因此,我们的研究代表了该主题的创新方法。

著录项

  • 来源
    《中国物理:英文版》 |2018年第12期|229-240|共12页
  • 作者单位

    College of Computer Science and Engineering, Northeastern University, Shenyang 110000, China;

    School of Biosciences, Durham University, Durham, DH13LE, UK;

    School of Biosciences, Durham University, Durham, DH13LE, UK;

    School of Information Engineering, Shenyang University, Shenyang 110000, China;

    College of Computer Science and Engineering, Northeastern University, Shenyang 110000, China;

    College of Computer Science and Engineering, Northeastern University, Shenyang 110000, China;

    School of Biosciences, Durham University, Durham, DH13LE, UK;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2024-01-06 16:32:45
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