A Literature Survey of the Internet Topology Generation Models

인터넷 토폴로지 생성 모델에 관한 문헌조사 연구

  • Lee, Kang Won (Department of Industrial and Systems Engineering, Seoul National University of Technology) ;
  • Kook, Kwang Ho (Department of Industrial and Systems Engineering, Seoul National University of Technology)
  • 이강원 (서울산업대학교 산업정보시스템공학과) ;
  • 국광호 (서울산업대학교 산업정보시스템공학과)
  • Published : 2007.03.31

Abstract

There has been much effort to improve the accuracy of the Internet topology model and include its quantitativeand/or qualitative effects on studies of a variety of network problems. Such improvement is the primarymotivation of this paper in listing and classifying the body of literature addressing the Internet topology. Themetrics, which characterize the fundamental properties of the Internet, are also divided into five categories andtheir importance and applications are discussed. Finally, we suggest several future research topics for theInternet topology models to be more realistic and applicable.

Keywords

References

  1. Aiello, W., Chung, F. and Lu, L. (2000), A Random Graph Model for Massive Graph, STOC'2000, Oregon Portland
  2. Albert, R. and Barabasi, A. (2000), Topology of Complex Networks: Local Events and Universality, Physical Review Letters, 85(24), 5234-5237 https://doi.org/10.1103/PhysRevLett.85.5234
  3. Alderson, D., Doyle, J., Govindan, R. and Willinger, W. (2003), Toward an Optimization-Driven Framework for Designing and Generating Realistic Internet Topology, ACM SIGCOMM Computer Cmmunication Review, 33(1)
  4. Alderson, D. (2004), Optimization-based Approaches to Understanding and Modeling Internet Topology, Tutorial, INFORMS Telecom Conference
  5. Bar, S., Gonen, M. and Wool, A. (2004), Incremental SuperLinear Preferential Internet Topology Model, Proc. 5th PAM, LNCS 3015,53-62
  6. Bar, S., Gonen, M. and Wool, A. (2005), A Geographic Directed Preferential Internet Topology Model, eprint arXiv.cs/ 0502061
  7. Barabasi, A. and Albert, R. (1999), Emergence of Scaling in Random Networks, Science, 286, 509-512 https://doi.org/10.1126/science.286.5439.509
  8. Battista, G. D., Patrignani, M. and Pizzonia, M. (2003), Computing the Types of the Relationships between AS, IEEE INFOCOM
  9. Bu, T. and Towsley, D. (2002), On Distinguishing between Internet Power Law Topology Generator, IEEE INFOCOM
  10. Calvert, K, Zegura, E. and Doar, M. (1997), Modeling Internet Topology, IEEE Commun. Mag., 160-163
  11. Carlson, J. M. and Doyle, J. (1999), Highly Optimized Tolerance: A Mechanism for Power Laws in Designed Systems, Physics Review E, 60(2)
  12. Chang, H., Govindan, R., Jarnin, S. and Willinger, W.(2004), Towards Capturing Representative AS-level Internet Topologies, Computer Networks Journal, 44, 737-755 https://doi.org/10.1016/j.comnet.2003.03.001
  13. Chen, Q., Chang, H., Govindan, R., Jarnin, S., Shenker, S. J. and Willinger, W. (2002), The Origin of Power-Laws in Internet Topologies Revisited, INFOCOM
  14. Chou, H. (2000) A Note on Power-Laws of Internet Topology, e-printcs. NI/00120I9
  15. Chung, F. K R. (1997), Spectral Graph Theory, 92 of Regional Conference Series in Mathematics, American Mathematical Society, providence, RI
  16. Claffy, K c., Monk, T. E. and Mcrobb, D. (1999), Internet Tomography, Nature, http://www.caida.org/ tools/ measurement/ skitter/
  17. Dimitropoulos X. et al. (2005), Inferring AS Relationships: Dead End or Lively Beginning?, 4th Workshop on Efficient and Experimental Algorithm
  18. Doar, M. (1996), A Better Model for Fenerating Test Networks, Proceedings of Globecom'96
  19. Doar, M. and Leslie, I. (1993), How Bad Is Naive Multicasting Routing?, Proc. IEEE INFOCOM'93, 82-89
  20. Dorogovtsev, S. N., Networks with Given Correlations, http:// arxiv.org/ abs/cond-mat/ 0308336vl
  21. Erdos, P. and Renyl, A. (1959), On Random Graph 1, Publicationes, Mathematicae, 6, 290-297
  22. Erlbach, T., Hall, A., and Schank, T. (2002), Classifying Customer-Provider Relationships in the Internet, In Proceedings of the lASTED
  23. Fabrikant, A., Koutsoupias, E., and Papadimitriou, C H. (2002), Heuristically Optimized Trade-Offs : A New Paradigm for Power Laws in the Internet, ICAIP 2002, LNCS 2380, 11 Q.-122
  24. Faloutsos, M., Faloutsos, P., and Faloutsos, C (1999), On PowerLaw Relationships of the Internet Topology, ACM SIGCOMM, 251-262, Sep 1-3, Cambridge MA
  25. Floyd, S. and Paxson, V. (2001), Difficulties in Simulating the Internet, IEEE/ACM Transactions on Networking, 9(4), 392-403 https://doi.org/10.1109/90.944338
  26. Gaertler, M. and Patrignani, M. (2004), Dynamic Analysis of the Autonomous System Graph, IPS
  27. Gao, L. (2001), On Inferring Autonomous System Relationship in the Internet,' IEEE/ACM Transactions on Networking, 9 (6),733-745 https://doi.org/10.1109/90.974527
  28. Gkantsidis, C, Mihail, M. and Saberi, A. (2003), Condluctance and Congestion in Power Law Graph, ACM SICMETRICS
  29. Gkantsidis, C, Mihail, M. and Zegura, E. (2003), Spectral Analysis of Internet Topologies, IEEE INFOCOM
  30. Gkantsidis, C., Mihail, M. and Zegura, E. (2003) The Markov Chain Simulation Method for Generating Connected PowerLaw Random Graphs, Proc. 5th Workshop on Algorithm Engineering and Experiment, SIAM
  31. Govindan, R. and Reddy, A. (1997), An analysis of Internet Inter-Domain Topology and Route Stability, Proc. IEEE INFOCOM'97, Kobe, Japan
  32. Guillaume, J L., Latapy, M. (2005), Relevance of Massively Distributed Explorations of the Internet Topology: Simulation Results, IEEE INFOCOM
  33. Internet Routing Registries, http://www.irr.net/
  34. IRR, List of Routing Registries, http://www.irr.net/docs/list.htrnl.
  35. Jaiswal, S., Rosenberg, A. L. and Towsley, D. (2004), Compar-ing the Structure of Power-Law Graphs and Internet AS graph, Proceedings of the 12th IEEE ICNP
  36. Jin, C, Chen, Q. and Jamin, S. (2000), Inet: Internet Topology Generator, Technical Report UM CSE- TR-433-00
  37. Li, L., Alderson, D., Willinger, W. and Doyle, J(2004), A First-Principles Approach to Understanding the Internets Router-Level Topology, ACM SIGCOMM'04, Portland
  38. Mahadevan, P. et al. (2005), Lessons from Three Views of the Internet Topology,' CAIDA- TR-2005-02
  39. Mahadevan, P. et al. (2005), Impact of Degree Correlations on Topology Generators, SIGCOMM
  40. Mahadevan, P. et al. (2006), The Internet AS Level Topology: Three Dara Sources and One Definitive Metric, ACM SIGCOMM Computer Communication Review, 36(1) https://doi.org/10.1145/1129582.1129599
  41. Magoni, D. and Pansiot, J. J. (2001), Influences of Network Topology on Protocol Simulation, IEEE ICN'01, 762-770
  42. Magoni, D. and Pansiot, J. J. (2002), Internet Topology Modeler Based on Map Sampling, Proc. of the 7th ISCS
  43. Median, A, Lakhina, A, Matta, I. and Byers, J. (2001), Brite: An Approach to Universal Topology Generation
  44. Medina, A, Matta.I, and Byers, J. (2000), On the Origin of Power Laws in Internet Topologies, ACM SIGCOMM Computer Communication Review, 30(2), 18-34 https://doi.org/10.1145/505680.505683
  45. Mihail, M., Gkantsidis, c., Saberi A and Zegura, E. (2002), On The Semantics of Internet Topologies, TR-GIT-CC-02-07, College of Computing, GIT
  46. Merit Network, Internet Routing Registry, http://www.irr.net. Newman
  47. M. E. J. (2002), Assortative Mixing in Network, Physical Review Letters, 89(20), 208701 https://doi.org/10.1103/PhysRevLett.89.208701
  48. Palmer, R. and Steffan, J. G. (2000), Generating Network Topologies That Obey Power Laws, GLOBECOMM 2000, 434-438
  49. Park, K. and Lee, H. (2001), On The Effectiveness of RouteBased Packet Filtering for Distributed Dos Attack Prevention in Power-Law Internets, ACM SIGCOMM, San Diego
  50. Park, S. T., Pennock, D. M. and Giles, C. L. (2004), Comparing Static and Dynamic Measurements and Models of The Internet's AS Topology, IEEE INFOCOM
  51. Paxon, V. and Floyd, S. (1997), Why We Don't Know How To Simulate The Internet, Proceedings of The 1997 Winter Simulation Conference, 1037-1044
  52. Phillips, G., Shenken, S. and Tangmunarunkit, H. (1999), Scaling of Multicast Tree: Comments On The Chuang-Sirbu Scaling Law, ACM SIGCOMM
  53. Sagie, G. and Wool, A (2003), A Clustering Approach For Exploring The Internet Structure, TR EES2003-7, Dept of EE, Tel Aviv Univ
  54. Satorras, R., Vazquez, A and Vespignani, A (2001), Dynamical and Correlation Properties of The Internet, Physical Review Letters, 87(25), 258701 https://doi.org/10.1103/PhysRevLett.87.258701
  55. Siganos, G., Faloutsos, M., Faloutsos, P. and Faloutsos, C. (2003), Power-Laws and The AS-Level Internet Ttopology, ACMlIEEE Trans. on Networking, 11(4) 514-524 https://doi.org/10.1109/TNET.2003.815300
  56. Subramanian, L., Agarwal, S., Rexford J. and Katz, R. H. (2002), Characterizing The Internet Hierarchy From Multiple Vantage Points, IEEE INFOCOM
  57. Tangmunarunkit, H., Govindan, R., Jamin, S., Shenker, S. and Willinger, W. (2002), Network Topology Generators: DegreeBased Vs. Structural, ACM SIGCOMM
  58. Tauro, L., Palmer, c., Siganos, G. and Faloutsos, M. (2001), A Simple Conceptual Model For The Internet Topology, Global Internet, San Antonio
  59. Traceroute.org, Public Route Server and Looking Glass Site List, http://www.traceroute.org/.Traceroute, http://www.traceroute.org/
  60. University of Oregon RouteViews Project, http://www.routeviews.org/
  61. Vazquez, A, Pastor-Satorras, R. and Vespignani, A. (2002), Large-Scale Topological and Dynamical Properties of Internet, Phys. Rev. E, 65, 066130 https://doi.org/10.1103/PhysRevE.65.066130
  62. Vukadinovic, D., Huang, P. and Erlebach, T. (2001), Spectral Analysis of Internet Topology, Technical Report TIK-NR, 118, ETH
  63. Watts, J. and St:rogatz, S. H. (1998), Collective Dynamics of 'Small-World' Networks, Nature, 393, 440-442 https://doi.org/10.1038/30918
  64. Waxman, M. (1988), Routing of Multipoint Connections, IEEE JSAC,1617-1622
  65. Willinger, W. (2004), Internet Topology: Measurements, Models, and Model Validation, AT&T Labs-Research
  66. Winick, J. and Jarnin, S. (2002), met-3.0 : Internet Topology Generator, Technical Report UM-CSE-TR-456-02, University of Michigan
  67. Xia, J. and Gao, L. (2005), On The Evaluation of As Relationship Inferences, Technical Report, Dept. of Electrical and Computer Engineering, Univ. of Massachusetts
  68. Yook, S. H., Jeong, H. and Barabasi, A. L. (2001), Modeling The Internet's Large Scale Topology, Dept. of Physics, Univ. of Norte Dame
  69. Zegura, W., Calvert, K. L. and Donahoo, M. J. (1997), A Quantitative Comparison of Graph-Based Models For Internet Topology, IEEElACM Trans. On Networking, 5(6), 770-783 Zegura, E. W. (2002), Modeling Internet Topology, 2002 IPAM Tutorial Workshop
  70. Zhou, S. and Mondragon, R. J. (2004), Accurately Modeling The Internet Topology, Physical Review E, 70, 066108, http://arxiv.org/abs/cs.NI/0402011
  71. Zhou, S. and Mondragon, R. J. (2004), The Rich-Club Phenomenon In The Internet Topology, IEEE Communications Letters, 8(3),180-182 https://doi.org/10.1109/LCOMM.2004.823426