Browse > Article
http://dx.doi.org/10.3837/tiis.2016.04.009

Assessing Resilience of Inter-Domain Routing System under Regional Failures  

Liu, Yujing (College of Computer, National University of Defense Technology)
Peng, Wei (College of Computer, National University of Defense Technology)
Su, Jinshu (College of Computer, National University of Defense Technology)
Wang, Zhilin (Education Department, National University of Defense Technology Changsha, China)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.10, no.4, 2016 , pp. 1630-1642 More about this Journal
Abstract
Inter-domain routing is the most critical function of the Internet. The routing system is a logical network relying on the physical infrastructure with geographical characteristics. Nature disasters or disruptive accidents such as earthquakes, cable cuts and power outages could cause regional failures which fail down geographically co-located network nodes and links, therefore, affect the resilience of inter-domain routing system. This paper presents a model for regional failures in inter-domain routing system called REFER for the first time. Based on REFER, the resilience of the inter-domain routing system could be evaluated on a finer level of the Internet, considering different routing policies of intra-domain and inter-domain routing systems. Under this model, we perform simulations on an empirical topology of the Internet with geographical characteristics to simulate a regional failure locating at a city with important IXP (Internet eXchange Point). Results indicate that the Internet is robust under a city-level regional failure. The reachability is almost the same after the failure, and the reroutings occur at the edge of the Internet, hardly affecting the core of inter-domain routing system.
Keywords
the Internet; inter-domain routing; resilience; regional failure;
Citations & Related Records
연도 인용수 순위
  • Reference
1 A. Popescu, T. Underwood and E. Zmijewski, "Quaking Tables: The Taiwan Earthquakes and the Internet Routing Table," in Proc. of NANOG 39, 2007.
2 J. Cowie, "Japan Quake," http://www.renesys.com/blog/2011/03/japan-quake.shtml, 2016.
3 A. Antony, L. Cittadini, D. Karrenberg, R. Kisteleki, T. Refice, T. Vest and R. Wilhelm, "Mediterranean Fiber Cable Cut (January-February 2008) Analysis of Network Dynamics," http://www.dia.uniroma3.it/-compunet/www/docs/2008-124.pdf, 2008.
4 S. Neumayer, G. Zussman, R. Cohen and E. Modiano, "Assessing the Impact of Geographically Correlated Network Failures," in Proc. of IEEE MILCOM' 08, pp. 1-6, 2008. Article (CrossRef Link).
5 A. Motter and Y. Lai, “Cascade-based attacks on complex networks,” Phys. Rev. E 66, 065102, pp. 1-4, 2002. Article (CrossRef Link).
6 J. Wu, Y. Zhang, Z. Mao and K. Shin, "Internet Routing Resilience to Failures: Analysis and Implications," in Proc. of CoNEXT'07, pp. 1-12, 2007. Article (CrossRef Link).
7 W. Deng, M. Karaliopoulos, W. Muhlbauer, P. Zhu, X. Lu, B. Plattner, “k-Fault tolerance of the Internet AS graph,” COMPUTER NETWORKS, vol. 55, no. 10, pp. 2492-2503, 2011. Article (CrossRef Link).   DOI
8 L. Gao. “On inferring autonomous system relationships in the internet,” IEEE/ACM Transactions on Networking (ToN), vol. 9, no. 6, pp.733-745, 2001. Article (CrossRef Link).   DOI
9 W. Deng, W. Muhlbauer, Y. Yang, P. Zhu, X. Lu, B. Plattner, “Shedding Light on the Use of AS Relationships for Path Inference,” Journal of Communications and Networks, vol. 14, no. 3, pp. 336-345, 2012. Article (CrossRef Link).   DOI
10 CAIDA, http://www.caida.org, 2016.
11 Route Views, http://www.routeviews.org, 2016.
12 RIPE RIS, http://www.ripe.net/ris, 2016.
13 Macroscopic Internet Topology Data Kit (ITDK), http://www.caida.org/data/active/internet-topology-data-kit/, 2016.
14 K. Xu, Z. Duan, Z. Zhang and J. Chandrashekar, "On Properties of Internet Exchange Points and Their Impact on AS Topology and Relationship," in Proc. of Networking 2004, pp. 284-295, 2004. Article (CrossRef Link).