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Part of the book series: Signals and Communication Technology ((SCT))

Abstract

CoMo (Continuous Monitoring) is a passive monitoring system. CoMo has been designed to be the basic building block of an open network monitoring infrastructure that would allow researchers and network operators to easily process and share network traffic statistics over multiple sites. This paper identifies the challenges that lie ahead in the deployment of such an open infrastructure. These main challenges are: (1) the system must allow any arbitrary traffic metric to be extracted from the packet streams, (2) it must provide privacy and security guarantees to the owner of the monitored link, the network users and the CoMo users, and (3) it must be robust to anomalous traffic patterns or traffic query loads. We describe the high-level architecture of CoMo and, in greater detail, the resource management, query processing and security aspects.

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References

  1. A. R. Bharambe, M. Agrawal, and S. Seshan. Mercury: Supporting scalable multi-attribute range queries. In Proceedings of ACM Sigcomm, Sept. 2004.

    Google Scholar 

  2. CAIDA: Cooperative Association for Internet Data Analysis. http://www.caida.org.

    Google Scholar 

  3. D. Carney et al. Monitoring streams-a new class of data management applications. In Proceedings of VLDB, 2002.

    Google Scholar 

  4. S. Chandrasekaran et al. TelegraphCQ: Continuous dataflow processing of an uncertain world. In Proceedings of CIDR, 2003.

    Google Scholar 

  5. Cisco Systems. NetFlow services and applications. White Paper, 2000.

    Google Scholar 

  6. C. Cranor, T. Johnson, O. Spataschek, and V. Shkapenyuk. Gigascope: A stream database for network applications. In Proceedings of ACM Sigmod, June 2003.

    Google Scholar 

  7. Endace. http://www.endace.com.

    Google Scholar 

  8. C. Fraleigh, S. Moon, B. Lyles, C. Cotton, M. Khan, R. Rockell, D. Moll, T. Seely, and C. Diot. Packet-level traffic measurements from the Sprint IP backbone. IEEE Network, 2003.

    Google Scholar 

  9. GEANT. http://www.dante.net.

    Google Scholar 

  10. P. B. Gibbons, B. Karp, Y. Ke, S. Nath, and S. Seshan. IrisNet: An architecture for a world-wide sensor web. IEEE Pervasive Computing, 2(4), Oct.

    Google Scholar 

  11. R. Huebsch, J. M. Hellerstein, N. Lanham, B. T. Loo, S. Shenker, and I. Stoica. Querying the Internet with PIER. In Proceedings of VLDB, 2003.

    Google Scholar 

  12. L. Huston, R. Sukthankar, R. Wickremesinghe, M. Stayanarayanan, G. Ganger, E. Riedel, and A. Ailamaki. Diamond: A storage architecture for early discard in interactive search. In Usenix FAST, Mar. 2004.

    Google Scholar 

  13. Internet2. http://www.internet2.org.

    Google Scholar 

  14. IP Flow Information eXport Working Group. Internet Engineering Task Force. http://www.ietf.org/html.charters/ipfix-charter.html.

    Google Scholar 

  15. X. Li, Y. J. Kim, R. Govindan, and W. Hong. Multi-dimensional range queries in sensor networks. In Proceedings of the ACM Sensys, Nov. 2003.

    Google Scholar 

  16. S. McCanne and V. Jacobson. The BSD Packet Filter: A new architecture for user-level packet capture. In USENIX Winter, Jan. 1993.

    Google Scholar 

  17. A. Moore, J. Hall, E. Harris, C. Kreibech, and I. Pratt. Architecture of a network monitor. In Proceedings of Passive and Active Measurement Workshop, Apr. 2003.

    Google Scholar 

  18. NLANR: National Laboratory for Applied Network Research. http://www.nlanr.net.

    Google Scholar 

  19. S. Patarin and M. Makpangou. Pandora: A flexible network monitoring platform. In Usenix, 2000.

    Google Scholar 

  20. V. Paxson, J. Mahdavi, A. Adams, and M. Mathis. An architecture for large-scale internet measurement. IEEE Communications, 36(8), 1998.

    Google Scholar 

  21. RIPE Rèseaux IP Europèens. http://www.ripe.net.

    Google Scholar 

  22. tcpdump/libpcap. http://www.tcpdump.org.

    Google Scholar 

  23. University of Oregon Route Views Project, http://www.routeviews.org.

    Google Scholar 

  24. J. Xu, J. Fan, M. Ammar, and S. Moon. Prefix-preserving IP address anonymization: Measurement-based security evaluation and a new cryptography-based scheme. Nov. 2002.

    Google Scholar 

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© 2006 Springer Science+Business Media, Inc.

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Iannaccone, G., Diot, C. (2006). The CoMo Project: Towards A Community-Oriented Measurement Infrastructure. In: Davoli, F., Palazzo, S., Zappatore, S. (eds) Distributed Cooperative Laboratories: Networking, Instrumentation, and Measurements. Signals and Communication Technology. Springer, Boston, MA. https://doi.org/10.1007/0-387-30394-4_8

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  • DOI: https://doi.org/10.1007/0-387-30394-4_8

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-29811-5

  • Online ISBN: 978-0-387-30394-9

  • eBook Packages: EngineeringEngineering (R0)

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