Evolution of IPv6 Internet topology with unusual sudden changes  被引量:6

Evolution of IPv6 Internet topology with unusual sudden changes

在线阅读下载全文

作  者:艾均 赵海 Kathleen M. Carley 苏湛 李辉 

机构地区:[1]College of Information Science and Engineering,Northeastern University [2]Institute for Software Research,Carnegie Mellon University

出  处:《Chinese Physics B》2013年第7期602-609,共8页中国物理B(英文版)

基  金:the National Natural Science Foundation of China(Grant No.60973022)

摘  要:The evolution of Internet topology is not always smooth but sometimes with unusual sudden changes. Consequently, identifying patterns of unusual topology evolution is critical for Internet topology modeling and simulation. We analyze IPv6 Internet topology evolution in IP-level graph to demonstrate how it changes in uncommon ways to restructure the Internet. After evaluating the changes of average degree, average path length, and some other metrics over time, we find that in the case of a large-scale growing the Internet becomes more robust; whereas in a top–bottom connection enhancement the Internet maintains its efficiency with links largely decreased.The evolution of Internet topology is not always smooth but sometimes with unusual sudden changes. Consequently, identifying patterns of unusual topology evolution is critical for Internet topology modeling and simulation. We analyze IPv6 Internet topology evolution in IP-level graph to demonstrate how it changes in uncommon ways to restructure the Internet. After evaluating the changes of average degree, average path length, and some other metrics over time, we find that in the case of a large-scale growing the Internet becomes more robust; whereas in a top–bottom connection enhancement the Internet maintains its efficiency with links largely decreased.

关 键 词:scale-free network Internet topology evolution unusual evolution of Internet topology complex network analysis 

分 类 号:TP393.02[自动化与计算机技术—计算机应用技术]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象