Internet complex network separation degree analysis based on hops
At the first the infection of the same separation degree to different network’s transmission was discussed, then the infection of different separation degree to same network’s transmission was discussed by giving an example of small world network; Internet separation degree based on hops was defined...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2005-01-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74334816/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841537293827964928 |
|---|---|
| author | SU Wei-ji ZHAO Hai XU Ye ZHANG Wen-bo |
| author_facet | SU Wei-ji ZHAO Hai XU Ye ZHANG Wen-bo |
| author_sort | SU Wei-ji |
| collection | DOAJ |
| description | At the first the infection of the same separation degree to different network’s transmission was discussed, then the infection of different separation degree to same network’s transmission was discussed by giving an example of small world network; Internet separation degree based on hops was defined. Based on the data that were supported by 30 monitors of global Internet from CAIDA, Internet hops was analyzed by statistic, Internet separation degree was computed. Small world character of Internet was illustrated more amply than the other international research result in this field; Aim at hops and RTT, 10 kinds regression analysis were done and a conclusion was draw that it more accords with power function between hops and RTT, the key parameters were found, which proved Internet complex network transmission is power function. Internet separation degree time sensitivity model （ISDTSM） was created; The model of time series stochastic process of Internet separation degree （MTSSPISD） was created, and then the time evolvement rule of Internet separation degree was discussed; At last, the Internet separation and average transmission time of IP level data during 2008 Beijing Olympic Game were forecast by using model ISDTSM and model MTSSPISD. |
| format | Article |
| id | doaj-art-af3dcf4512454d09b4dcff199be2acb7 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2005-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-af3dcf4512454d09b4dcff199be2acb72025-01-14T08:41:35ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2005-01-011874334816Internet complex network separation degree analysis based on hopsSU Wei-jiZHAO HaiXU YeZHANG Wen-boAt the first the infection of the same separation degree to different network’s transmission was discussed, then the infection of different separation degree to same network’s transmission was discussed by giving an example of small world network; Internet separation degree based on hops was defined. Based on the data that were supported by 30 monitors of global Internet from CAIDA, Internet hops was analyzed by statistic, Internet separation degree was computed. Small world character of Internet was illustrated more amply than the other international research result in this field; Aim at hops and RTT, 10 kinds regression analysis were done and a conclusion was draw that it more accords with power function between hops and RTT, the key parameters were found, which proved Internet complex network transmission is power function. Internet separation degree time sensitivity model （ISDTSM） was created; The model of time series stochastic process of Internet separation degree （MTSSPISD） was created, and then the time evolvement rule of Internet separation degree was discussed; At last, the Internet separation and average transmission time of IP level data during 2008 Beijing Olympic Game were forecast by using model ISDTSM and model MTSSPISD.http://www.joconline.com.cn/zh/article/74334816/separation degreeclustering coefficientaverage path lengthhopsRTTcomplex networksmall world phenomenon |
| spellingShingle | SU Wei-ji ZHAO Hai XU Ye ZHANG Wen-bo Internet complex network separation degree analysis based on hops Tongxin xuebao separation degree clustering coefficient average path length hops RTT complex network small world phenomenon |
| title | Internet complex network separation degree analysis based on hops |
| title_full | Internet complex network separation degree analysis based on hops |
| title_fullStr | Internet complex network separation degree analysis based on hops |
| title_full_unstemmed | Internet complex network separation degree analysis based on hops |
| title_short | Internet complex network separation degree analysis based on hops |
| title_sort | internet complex network separation degree analysis based on hops |
| topic | separation degree clustering coefficient average path length hops RTT complex network small world phenomenon |
| url | http://www.joconline.com.cn/zh/article/74334816/ |
| work_keys_str_mv | AT suweiji internetcomplexnetworkseparationdegreeanalysisbasedonhops AT zhaohai internetcomplexnetworkseparationdegreeanalysisbasedonhops AT xuye internetcomplexnetworkseparationdegreeanalysisbasedonhops AT zhangwenbo internetcomplexnetworkseparationdegreeanalysisbasedonhops |