Rowan Klöti
Bernhard Ager
Xenofontas Dimitropoulos
Abstract
Internet eXchange Points (IXPs) are core components of the Internet infrastructure where Internet Service Providers (ISPs) meet and exchange traffic. During the last few years, the number and size of IXPs have increased rapidly, driving the flattening and shortening of Internet paths. However, understanding the present status of the IXP ecosystem and its potential role in shaping the future Internet requires rigorous data about IXPs, their presence, status, participants, etc. In this work, we do the first cross-comparison of three well-known publicly available IXP databases, namely of PeeringDB, Euro-IX, and PCH. A key challenge we address is linking IXP identifiers across databases maintained by different organizations. We find different AS-centric versus IXP-centric views provided by the databases as a result of their data collection approaches. In addition, we highlight differences and similarities w.r.t. IXP participants, geographical coverage, and co-location facilities. As a side-product of our linkage heuristics, we make publicly available the union of the three databases, which includes 40.2% more IXPs and 66.3% more IXP participants than the commonly-used PeeringDB. We also publish our analysis code to foster reproducibility of our experiments and shed preliminary insights into the accuracy of the union dataset.
- Datasets and Software accompanying the paper. https://bitbucket.org/RKloti/a-comparative-look-into-public-ixp-datasets-partially.git.Google Scholar
- The Route Views Project. www.routeviews.org.Google Scholar
- European Internet Exchange Association. https://www.euro-ix.net/. Datasets collected on: 2014-09-19, at 21:58 CEST.Google Scholar
- IXP Database-IX-F Internet eXchange Federation. http://www.ix-f.net/ixp-database.html.Google Scholar
- Packet Clearing House (PCH) - Data. https://www.pch.net/resources/data.php.Google Scholar
- Packet Clearing House - Internet Exchange Directory. https://prefix.pch.net/applications/ixpdir/. Datasets collected on: 2014-09-19, at 21:58 CEST.Google Scholar
- PeeringDB. https://www.peeringdb.com/. Datasets collected on: 2014-09-19, at 11:22 CEST.Google Scholar
- Ager, B., Chatzis, N., Feldmann, A., Sarrar, N., Uhlig, S., and Willinger, W. Anatomy of a Large European IXP. In Proc. of ACM SIGCOMM (2012). Google ScholarDigital Library
- Ahmad, M. Z., and Guha, R. Studying the Effect of Internet eXchange Points on Internet Link Delays. In Proc. of the Spring Simulation Multiconference (2010). Google ScholarDigital Library
- Augustin, B., Krishnamurthy, B., and Willinger, W. IXPs: Mapped? In Proc. of ACM IMC (2009). Google ScholarDigital Library
- Chatzis, N., Smaragdakis, G., Feldmann, A., and Willinger, W. There is More to IXPs Than Meets the Eye. ACM SIGCOMM CCR 43, 5 (Nov. 2013). Google ScholarDigital Library
- Dhamdhere, A., and Dovrolis, C. The Internet is Flat: Modeling the Transition from a Transit Hierarchy to a Peering Mesh. In Proc. of ACM CONEXT (2010). Google ScholarDigital Library
- Gill, P., Arlitt, M., Li, Z., and Mahanti, A. The Flattening Internet Topology: Natural Evolution, Unsightly Barnacles or Contrived Collapse? In Passive and Active Network Measurement. Springer, 2008, pp. 1--10. Google ScholarDigital Library
- Gregori, E., Improta, A., Lenzini, L., and Orsini, C. The Impact of IXPs on the AS-level Topology Structure of the Internet. Comput. Commun. 34, 1 (Jan. 2011). Google ScholarDigital Library
- Gupta, A., Vanbever, L., Shahbaz, M., Donovan, S. P., Schlinker, B., Feamster, N., Rexford, J., Shenker, S., Clark, R., and Katz-Bassett, E. SDX: A Software Defined Internet Exchange. In Proc. of ACM SIGCOMM (2014). Google ScholarDigital Library
- Kotronis, V., Dimitropoulos, X., Klöti, R., Ager, B., Georgopoulos, P., and Schmid, S. Control Exchange Points: Providing QoS-enabled End-to-End Services via SDN-based Inter-domain Routing Orchestration. In Research Track of the 3rd Open Networking Summit (ONS) (2014).Google Scholar
- Labovitz, C., Iekel-Johnson, S., McPherson, D., Oberheide, J., and Jahanian, F. Internet Inter-domain Traffic. ACM SIGCOMM CCR 41, 4 (Aug. 2010). Google ScholarDigital Library
- Lodhi, A., Larson, N., Dhamdhere, A., Dovrolis, C., and claffy, k. Using peeringDB to Understand the Peering Ecosystem. ACM SIGCOMM CCR 44, 2 (Apr. 2014). Google ScholarDigital Library
- Lychev, R., Goldberg, S., and Schapira, M. BGP Security in Partial Deployment: Is the Juice Worth the Squeeze? In Proc. of ACM SIGCOMM (2013). Google ScholarDigital Library
- Snijders, J. PeeringDB Accuracy: Is blind faith reasonable? NANOG 58, 2013.Google Scholar
Index Terms
- A Comparative Look into Public IXP Datasets
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