• DocumentCode
    2456671
  • Title

    BGP-Inspect - Extracting Information from Raw BGP Data

  • Author

    Blazakis, Dionysus ; Karir, Manish ; Baras, John S.

  • Author_Institution
    Inst. for Syst. Res., Maryland Univ., College Park, MD
  • fYear
    2006
  • fDate
    3-7 April 2006
  • Firstpage
    174
  • Lastpage
    185
  • Abstract
    While BGP routing datasets, consisting of raw routing data, are freely available and easy to obtain, extracting any useful information is tedious. Currently, researcher and network operators implement their own custom data processing tools and scripts. A single tool that provides easy access to the information within large raw BGP datasets could be used by both communities to avoid re-writing these tools each time. Moreover, providing not just raw BGP messages, but some commonly used summary statistics as well can help guide deeper custom analyses. Based on these observations this paper describes the first steps towards building a scalable tool. We describe the various techniques and algorithms we have used to build an efficient generic tool called BGP-Inspect. When dealing with large datasets, dataset size, lookup speed, and data processing time are the most challenging issues. We describe our implementations of chunked compressed files and B+ tree indices that attempt to address these issues. We then provide an evaluation of our implementations. Finally, we provide some example scenarios and case studies where BGP-Inspect can provide useful insight into the management and operation of complex BGP based networks. An efficient and flexible back-end custom BGP message database, coupled with an intuitive and easy to use Web-based query front-end makes BGP-Inspect a unique and powerful tool
  • Keywords
    internetworking; routing protocols; B+ tree indices; BGP routing datasets; BGP-Inspect; Web-based query front-end; back-end custom BGP message database; border gateway protocol; chunked compressed files; data processing tools; dataset size; Data analysis; Data mining; Data processing; Databases; Educational institutions; Europe; North America; Research and development; Routing; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium, 2006. NOMS 2006. 10th IEEE/IFIP
  • Conference_Location
    Vancouver, BC
  • ISSN
    1542-1201
  • Print_ISBN
    1-4244-0142-9
  • Type

    conf

  • DOI
    10.1109/NOMS.2006.1687549
  • Filename
    1687549