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Behind the Curtain: Cellular DNS and Content Replica Selection

Published:05 November 2014Publication History

ABSTRACT

DNS plays a critical role in the performance of smartdevices within cellular networks. Besides name resolution, DNS is commonly relied upon for directing users to nearby content caches for better performance. In light of this, it is surprising how little is known about the structure of cellular DNS and its effectiveness as a client localization method.

In this paper we take a close look at cellular network DNS and uncover several features of cellular DNS, such as cellular network opaqueness and client to resolver inconsistency, that make it unsuitable for client localization in modern cellular networks. We study these issues in two leading mobile network markets - US and South Korea - using a collection of over 340 volunteer devices to probe the DNS infrastructure of each client's cellular provider.

We show the extent of the problem with regards to replica selection and compare its localization performance against public DNS alternatives. As a testament to cellular DNS's poor localization, we find surprisingly that public DNS can render equal or better replica performance over 75% of the time.

References

  1. B. Ager, W. Mühlbauer, G. Smaragdakis, and S. Uhlig. Comparing DNS resolvers in the wild. In Proc. IMC, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. H. A. Alzoubi, M. Rabinovich, and O. Spatscheck. The anatomy of LDNS clusters: Findings and implications for web content delivery. In Proc. WWW, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. M. Balakrishnan, I. Mohomed, and V. Ramasubramanian. Where's that phone?: geolocating IP addresses on 3G networks. In Proc. IMC, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. M. Casado and M. J. Freedman. Peering through the shroud: The effect of edge opacity on ip-based client identification. In Proc. USENIX NSDI, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. D. R. Choffnes and F. E. Bustamante. Taming the torrent: a practical approach to reducing cross-isp traffic in peer-to-peer systems. ACM SIGCOMM Computer Communication Review, 38(4):363--374, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. CISCO. Architectural Considerations for Backhaul of 2G/3G and Long Term Evolution Networks. http://www.cisco.com/c/en/us/solutions/collateral/service-provider/mobile-internet/white_paper_c11--613002.pdf.Google ScholarGoogle Scholar
  7. CISCO. CISCO visual networking index: Global mobile data traffic forecast update 2013--2018. Technical report, CISCO Systems Inc., 2014.Google ScholarGoogle Scholar
  8. A. Gember, A. Akella, J. Pang, A. Varshavsky, and R. Caceres. Obtaining in-context measurements of cellular network performance. In Proc. IMC, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Google. Frequently asked questions - Public DNS -- Google Developers. https://developers.google.com/speed/public-dns/faq.Google ScholarGoogle Scholar
  10. C. Huang, A. Wang, J. Li, and K. W. Ross. Measuring and evaluating large-scale CDNs. In Proc. IMC, 2008. Google ScholarGoogle Scholar
  11. J. Huang, F. Qian, A. Gerber, Z. M. Mao, S. Sen, and O. Spatscheck. A close examination of performance and power characteristics of 4g lte networks. In Proc. of MobiSys, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. G. Intelligence. 4G driving data usage but not all markets reaping the rewards. Technical report.Google ScholarGoogle Scholar
  13. B. Krishnamurthy, C. Wills, and Y. Zhang. On the use and performance of content distribution networks. In Proc. IMC, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. B. Maggs. Personal Communication.Google ScholarGoogle Scholar
  15. B. Maggs. Challenges in engineering the world's largest content delivery networkstate of the union address.Google ScholarGoogle Scholar
  16. Z. M. Mao, C. D. Cranor, F. Douglis, M. Rabinovich, O. Spatscheck, and J. Wang. A precise and efficient evaluation of the proximity between web clients and their local DNS servers. In Proc. USENIX ATC, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. A. Nikravesh, D. R. Choffnes, E. Katz-Bassett, Z. M. Mao, and M. Welsh. Mobile network performance from user devices: A longitudinal, multidimensional analysis. In Proc. PAM, 2014.Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. J. S. Otto, M. A. Sánchez, J. P. Rula, and F. E. Bustamante. Content delivery and the natural evolution of DNS: Remote DNS trends, performance issues and alternative solutions. In Proc. IMC, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. B. F. Rubin. Verizon to acquire content-delivery startup edgecast networks.textitThe Wall Street Journal, 9 December 2013. Available: http://online.wsj.com/article/BT-CO-20131209--703213.html. {Last Accessed: 5 May 2014}.Google ScholarGoogle Scholar
  20. K. Schomp, T. Callahan, M. Rabinovich, and M. Allman. On measuring the client-side dns infrastructure. In Proc. IMC, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. A. Shaikh, R. Tewari, and M. Agrawal. On the effectiveness of DNS-based server selection. In Proc. IEEE INFOCOM.Google ScholarGoogle Scholar
  22. J. Sommers and P. Barford. Cell vs. wifi: on the performance of metro area mobile connections. In Proc. IMC, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. A.-J. Su, D. R. Choffnes, A. Kuzmanovic, and F. E. Bustamante. Drafting behind akamai (travelocity-based detouring). ACM SIGCOMM Computer Communication Review, 36(4):435--446, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Z. Wang, Z. Qian, Q. Xu, Z. Mao, and M. Zhang. An untold story of middleboxes in cellular networks. SIGCOMM Comput. Commun. Rev., 41(4):374--385, Aug. 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Q. Xu, J. Huang, Z. Wang, F. Qian, and A. G. Z. M. Mao. Cellular data network infrastructure characterization and implication on mobile content placement. In Proc. ACM SIGMETRICS, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. K. Zarifis, T. Flach, S. Nori, D. Choffnes, R. Govindan, E. Katz-Bassett, Z. M. Mao, and M. Welsh. Diagnosing Path Inflation of Mobile Client Traffic. In Proc. PAM, 2014.Google ScholarGoogle ScholarDigital LibraryDigital Library

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          cover image ACM Conferences
          IMC '14: Proceedings of the 2014 Conference on Internet Measurement Conference
          November 2014
          524 pages
          ISBN:9781450332132
          DOI:10.1145/2663716

          Copyright © 2014 ACM

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          Publication History

          • Published: 5 November 2014

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          IMC '14 Paper Acceptance Rate32of103submissions,31%Overall Acceptance Rate277of1,083submissions,26%

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