Abstract
To describe the prospect of Chinese autonomous system (AS) level topology, the authors adopt the meta-synthetic methodology to investigate the differences of topology data in themselves and their statistical characterization. Firstly, the topology snapshots and ten-year history are collected from various data sources with the BGP-, traceroute-and IRR-based methods. Secondly, topology snapshots are compared by groups with set operations, and a relatively complete and credible Chinese AS graph is obtained. Three growth mechanisms are analyzed from the view of the birth-death progress. The miss of death progress in related models is pointed out. Then, the topological characteristics and their significances of three typical snapshots are compared with complex network characterization methodologies. The fact that the average degree can determine most of discrepancies is discovered. Finally, four observations on the evolution of topological characteristics are presented, including the phenomenon of average degree growth which wasn't replayed by related models.
| Original language | English |
|---|---|
| Pages (from-to) | 611-619 |
| Number of pages | 9 |
| Journal | Jisuanji Xuebao/Chinese Journal of Computers |
| Volume | 31 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 2008 |
Keywords
- Autonomous system
- Complex network
- Meta-synthetic
- Topology evolution
- Topology measurement
- Topology modeling
Fingerprint
Dive into the research topics of 'Chinese AS-level topology measurement and analysis'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver