The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 17, 2011

Filed:

Dec. 05, 2005
Applicants:

Antonio Nucci, Burlingame, CA (US);

Soon-tee Teoh, San Jose, CA (US);

Chen-nee Chuah, Davis, CA (US);

Inventors:

Antonio Nucci, Burlingame, CA (US);

Soon-Tee Teoh, San Jose, CA (US);

Chen-Nee Chuah, Davis, CA (US);

Assignee:

Narus, Inc., Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 15/16 (2006.01); G06F 15/173 (2006.01);
U.S. Cl.
CPC ...
Abstract

The present invention comprises a multi-tier system. Major goals of the system are to 1) clearly visualize BGP dynamics and alert/report important deviation of BGP dynamics to avoid overwhelming the operators with too much information and 2) analyze the root cause of the problems by using a multi-tier approach, with a light-computational analysis and high-level classification for a real-time problem identification followed by a more rigorous off-line analysis for a further and more detailed trouble shooting. An example embodiment is provided that comprises four modules. The first module comprises a distributed family of collectors in charge of collecting real-time network information. The second module filters out non-relevant prefixes and extracts and profiles key features of the network information. The third module monitors BGP activity from both an Internet-AS and single-AS perspectives by displaying the data in real time and highlighting major shifts or divergence from historical baselines with comprehensive layouts. The forth module is run off-line to focus on a few relevant events that are selected through the first three modules. This is usually a time-consuming phase of the process due to the different temporal and/or spatial correlation that must be run across several sets of data. During this phase, the system can spend more time to better identify the real cause of the problem.


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