ACM Home Page
Please provide us with feedback. Feedback
Ten years in the evolution of the internet ecosystem
Full text PdfPdf (428 KB)
Source
Internet Measurement Conference archive
Proceedings of the 8th ACM SIGCOMM conference on Internet measurement table of contents
Vouliagmeni, Greece
SESSION: Internet properties table of contents
Pages 183-196  
Year of Publication: 2008
ISBN:978-1-60558-334-1
Authors
Amogh Dhamdhere  Georgia Technology, Atlanta, GA, USA
Constantine Dovrolis  Georgia Technology, Atlanta, GA, USA
Sponsors
SIGCOMM: ACM Special Interest Group on Data Communication
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 67,   Downloads (12 Months): 592,   Citation Count: 2
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1452520.1452543
What is a DOI?

ABSTRACT

Our goal is to understand the evolution of the Autonomous System (AS) ecosystem over the last decade. Instead of focusing on abstract topological properties, we classify ASes into a number of "species" depending on their function and business type. Further, we consider the semantics of inter-AS links, in terms of customer-provider versus peering relations. We find that the available historic datasets from RouteViews and RIPE are not sufficient to infer the evolution of peering links, and so we restrict our focus to customer-provider links. Our findings highlight some important trends in the evolution of the Internet over the last decade, and hint at what the Internet is heading towards. After an exponential increase phase until 2001, the Internet now grows linearly in terms of both ASes and inter-AS links. The growth is mostly due to enterprise networks and content/access providers at the periphery of the Internet. The average path length remains almost constant mostly due to the increasing multihoming degree of transit and content/access providers. In recent years, enterprise networks prefer to connect to small transit providers, while content/access providers connect equally to both large and small transit providers. The AS species differ significantly from each other with respect to their rewiring activity; content/access providers are the most active. A few large transit providers act as "attractors" or "repellers" of customers. For many providers, strong attractiveness precedes strong repulsiveness by 3-9 months. Finally, in terms of regional growth, we find that the AS ecosystem is now larger and more dynamic in Europe than in North America.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
R. Albert and A. L. Barabasi. Topology of Evolving Networks: Local Events and Universality. Physical Review Letters 85, 5234, 2000.
 
2
A. L. Barabasi and R. Albert. Emergence of Scaling in Random Networks. Science 286 509512, 1999.
 
3
T. Bu and D. Towsley. On Distinguishing Between Internet Power Law Topology Generators. In Proceedings of IEEE Infocom, 2002.
 
4
J. M. Carlson and J. Doyle. Highly Optimized Tolerance: A Mechanism for Power Laws in Designed Systems. Physical Review E 60, 1999.
 
5
6
 
7
H. Chang, S. Jamin, and W. Willinger. To Peer or Not to Peer: Modeling the Evolution of the Internet's AS-Level Topology. In Proceedings of IEEE Infocom, 2006.
 
8
H. Chang and W. Willinger. Difficulties Measuring the Internet's AS-Level Ecosystem. In Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006.
 
9
Q. Chen, H. Chang, R. Govindan, S. Jamin, S. Shenker, and W. Willinger. The Origin of Power-Laws in Internet Topologies Revisited. In Proceedings of IEEE Infocom, 2002.
 
10
R. Cohen and D. Raz. The Internet Dark Matter - On the Missing Links in the AS Connectivity Map. In Proceedings of IEEE Infocom, 2006.
11
 
12
X. Dimitropoulos, D. Krioukov, G. Riley, and K. Claffy. Revealing the Autonomous System Taxonomy: The Machine Learning Approach. In Proceedings of Passive and Active Measurement Conference (PAM), 2006
 
13
N. Economides. The Economics of the Internet Backbone. Handbook of Telecommunications Economics Ed. S. Majumdar, I. Vogelsang, M. Cave. Amsterdam: Elsevier Publishers, 2006.
 
14
15
 
16
17
 
18
Y. He, G. Siganos, M. Faloutsos, and S. V. Krishnamurthy. A Systematic Framework for Unearthing the Missing Links: Measurements and Impact. In Proceedings of 4th USENIX/SIGCOMM NSDI, 2007.
 
19
G. Huston. The 32-bit AS Number Report. http://www.potaroo.net/tools/asn32.
 
20
E. F. Keller. Revisiting "Scale-free" Networks. BioEssays 27, Wiley Periodicals Inc., 2005.
21
22
23
24
 
25
W. B. Norton. The Evolution of the U.S. Internet Peering Ecosystem. Equinix white papers, 2004.
26
27
 
28
S. Park, D. M. Pennock, and C. L. Giles. Comparing Static and Dynamic Measurements and Models of the Internet's AS Topology. In Proceedings of IEEE Infocom, 2004.
 
29
RIPE. RIPE Network Coordination Centre. http://www.ripe.net.
 
30
Routeviews. University of Oregon Route Views Project. http://www.routeviews.org.
 
31
M. A. Serrano, M. Boguna, and A. D. Guilera. Modeling the Internet. The European Physics Journal B, 2006.
 
32
G. Siganos, M. Faloutsos, and C. Faloutsos. The Evolution of the Internet: Topology and Routing. University of California, Riverside technical report.
 
33
L. Subramanian, S. Agarwal, J. Rexford, and R. Katz. Characterizing the Internet hierarchy from Multiple Vantage Points. In Proceedings of IEEE Infocom, 2002.
34
 
35
X. Wang and D. Loguinov. Wealth-Based Evolution Model for the Internet AS-Level Topology. In Proceedings of IEEE Infocom, 2006.
 
36
S. H. Yook, H. Jeong, and A. L. Barabasi. Modeling the Internet's Large-scale Topology. Proceedings of the National Academy of Sciences, 2002.
37
38
 
39
S. Zhou. Understanding the Evolution Dynamics of Internet Topology. Physical Review E, vol. 74, 2006


Collaborative Colleagues:
Amogh Dhamdhere: colleagues
Constantine Dovrolis: colleagues