skip to main content
10.1145/3131365.3131396acmconferencesArticle/Chapter ViewAbstractPublication PagesimcConference Proceedingsconference-collections
research-article
Public Access

Packetlab: a universal measurement endpoint interface

Published:01 November 2017Publication History

ABSTRACT

The right vantage point is critical to the success of any active measurement. However, most research groups cannot afford to design, deploy, and maintain their own network of measurement endpoints, and thus rely measurement infrastructure shared by others. Unfortunately, the mechanism by which we share access to measurement endpoints today is not frictionless; indeed, issues of compatibility, trust, and a lack of incentives get in the way of efficiently sharing measurement infrastructure.

We propose PacketLab, a universal measurement endpoint interface that lowers the barriers faced by experimenters and measurement endpoint operators. PacketLab is built on two key ideas: It moves the measurement logic out of the endpoint to a separate experiment control server, making each endpoint a lightweight packet source/sink. At the same time, it provides a way to delegate access to measurement endpoints while retaining fine-grained control over how one's endpoints are used by others, allowing research groups to share measurement infrastructure with each other with little overhead. By making the endpoint interface simple, we also make it easier to deploy measurement endpoints on any device anywhere, for any period of time the owner chooses. We offer PacketLab as a candidate measurement interface that can accommodate the research community's demand for future global-scale Internet measurement.

References

  1. Internet Censorship Lab. http://www.internetcensorshiplab.com.Google ScholarGoogle Scholar
  2. Measuring Broadband America. https://www.fcc.gov/general/measuring-broadband-america.Google ScholarGoogle Scholar
  3. PlanetLab: An Open Platform for Developing, Deploying, and Accessing Planetary-scale Services. https://www.planet-lab.org.Google ScholarGoogle Scholar
  4. RIPE Atlas. https://atlas.ripe.net.Google ScholarGoogle Scholar
  5. V. Bajpai, A. W. Berger, P. Eardley, J. Ott, and J. Schönwälder. Global Measurements: Practice and Experience (Report on Dagstuhl Seminar #16012). SIGCOMM Comput. Commun. Rev., 46(2):32--39, May 2016. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. V. Bajpai and J. Schonwalder. A Survey on Internet Performance Measurement Platforms and Related Standardization Efforts. IEEE Communications Surveys and Tutorials, 17(3):1313--1341, Apr 2015.Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. A. Begel, S. McCanne, and S. L. Graham. BPF+: Exploiting Global Data-flow Optimization in a Generalized Packet Filter Architecture. In Proceedings of the Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. H. Bos, W. De Bruijn, M.-L. Cristea, T. Nguyen, and G. Portokalidis. FFPF: Fairly Fast Packet Filters. In Proceedings of the USENIX Symposium on Operating Systems Design and Implementation, pages 24--24, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. T. Bourgeau, J. Augé, and T. Friedman. TopHat: Supporting Experiments through Measurement Infrastructure Federation. In in: Proceedings of the International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities (TridentCom, 2010.Google ScholarGoogle Scholar
  10. R. T. Braden. A Pseudo-machine for Packet Monitoring and Statistics. In Symposium Proceedings on Communications Architectures and Protocols, pages 200--209, 1988. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. CAIDA. AIMS 2015: Workshop on Active Internet Measurements. https://www.caida.org/workshops/aims/1503.Google ScholarGoogle Scholar
  12. CAIDA. AIMS 2016: Workshop on Active Internet Measurements. https://www.caida.org/workshops/aims/1602.Google ScholarGoogle Scholar
  13. CAIDA. AIMS 2017: Workshop on Active Internet Measurements. https://www.caida.org/workshops/aims/1703.Google ScholarGoogle Scholar
  14. k. claffy, Y. Hyun, K. Keys, M. Fomenkov, and D. Krioukov. Internet Mapping: from Art to Science. In IEEE DHS Cybersecurity Applications and Technologies Conference for Homeland Security (CATCH), pages 205--211, Watham, MA, Mar 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. D. R. Engler and M. F. Kaashoek. DPF: Fast, Flexible Message Demultiplexing Using Dynamic Code Generation. In Proceedings of the Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, pages 53--59, 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. V. Giotsas, A. Dhamdhere, and k. claffy. Periscope: Unifying Looking Glass Querying. In Passive and Active Network Measurement Workshop (PAM), Mar 2016.Google ScholarGoogle Scholar
  17. U. Goel, A. Miyyapuram, M. Wittie, and Q. Yang. MITATE: Mobile Internet Testbed for Application Traffic Experimentation. In Mobile and Ubiquitous Systems: Computing, Networking, and Services. 10th International Conference, MOBIQUITOUS 2013, Tokyo, Japan, Revised Selected Papers, 2014.Google ScholarGoogle Scholar
  18. S. Ioannidis, K. G. Anagnostakis, J. Ioannidis, and A. D. Keromytis. xPF: Packet Filtering for Low-Cost Network Monitoring. In Proceedings of the Workshop on High Performance Switching and Routing, pages 116--120, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  19. C. Kreibich, N. Weaver, B. Nechaev, and V. Paxson. Netalyzr: Illuminating the Edge Network. In Proceedings of the ACM Conference on Internet Measurement, pages 246--259, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. M. Luckie, A. Dhamdhere, D. Clark, B. Huffaker, and K. Claffy. Challenges in Measuring Internet Interdomain Congestion. In Proceedings of the ACM SIGCOMM Internet Measurement Conference (IMC), 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. S. McCanne and V. Jacobson. The BSD Packet Filter: A New Architecture for User-level Packet Capture. In Proceedings of the USENIX Conference, 1993. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. D. L. Mills. Improved Algorithms for Synchronizing Computer Network Clocks. IEEE/ACM Transactions on Networking, 3(3):245--254, 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. J. Mogul, R. Rashid, and M. Accetta. The Packer Filter: An Efficient Mechanism for User-level Network Code. In Proceedings of the Eleventh ACM Symposium on Operating Systems Principles, pages 39--51, 1987. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. D. Moore, C. Shannon, G. M. Voelker, and S. Savage. Network Telescopes. Technical Report 2004--04, Department of Computer Science and Engineering, University of California, San Diego, 2004.Google ScholarGoogle Scholar
  25. OONI. Open Observatory of Network Interference. https://ooni.torproject.org.Google ScholarGoogle Scholar
  26. M. A. Sánchez, J. S. Otto, Z. S. Bischof, D. R. Choffnes, F. E. Bustamante, B. Krishnamurthy, and W. Willinger. Dasu: Pushing Experiments to the Internet's Edge. In Proceedings of the 10th USENIX Conference on Networked Systems Design and Implementation, nsdi'13, pages 487--500, Berkeley, CA, USA, 2013. USENIX Association. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. B. Schlinker, K. Zarifis, I. Cunha, N. Feamster, and E. Katz-Bassett. PEERING: An AS for Us. In Proceedings of the 13th ACM Workshop on Hot Topics in Networks, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. J. Schulist, D. Borkmann, and A. Starovoitov. Linux Socket Filtering aka Berkeley Packet Filter (BPF). https://www.kernel.org/doc/Documentation/networking/filter.txt.Google ScholarGoogle Scholar
  29. N. Spring, D. Wetherall, and T. Anderson. Scriptroute: A Public Internet Measurement Facility. In Proceedings of the 4th Conference on USENIX Symposium on Internet Technologies and Systems - Volume 4, USITS'03, pages 17--17, Berkeley, CA, USA, 2003. USENIX Association. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. S. Sundaresan, S. Burnett, N. Feamster, and W. De Donato. BISmark: A Testbed for Deploying Measurements and Applications in Broadband Access Networks. In 2014 USENIX Conference on USENIX Annual Technical Conference (USENIX ATC 14), pages 383--394, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. The Mplane Consortium. MPlane: Building an Intelligent Measuremet Plane for the Internet. http://www.ict-mplane.eu.Google ScholarGoogle Scholar
  32. Z. Wu, M. Xie, and H. Wang. Swift: A Fast Dynamic Packet Filter. In Proceedings of the USENIX Symposium on Networked Systems Design and Implementation, pages 279--292, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. M. Yuhara, B. N. Bershad, C. Maeda, and J. E. B. Moss. Efficient Packet Demultiplexing for Multiple Endpoints and Large Messages. In USENIX Winter Technical Conference Proceedings, Jan. 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Packetlab: a universal measurement endpoint interface

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      IMC '17: Proceedings of the 2017 Internet Measurement Conference
      November 2017
      509 pages
      ISBN:9781450351188
      DOI:10.1145/3131365

      Copyright © 2017 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 1 November 2017

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      Overall Acceptance Rate277of1,083submissions,26%

      Upcoming Conference

      IMC '24
      ACM Internet Measurement Conference
      November 4 - 6, 2024
      Madrid , AA , Spain

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader