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:
Jun. 07, 2011

Filed:

Dec. 23, 2008
Applicants:

Nicholas Duffield, Summit, NJ (US);

Lee M. Breslau, Basking Ridge, NJ (US);

Cheng EE, Rockaway, NJ (US);

Alexandre Gerber, Madison, NJ (US);

Carsten Lund, Berkeley Heights, NJ (US);

Subhabrata Sen, New Providence, NJ (US);

Inventors:

Nicholas Duffield, Summit, NJ (US);

Lee M. Breslau, Basking Ridge, NJ (US);

Cheng Ee, Rockaway, NJ (US);

Alexandre Gerber, Madison, NJ (US);

Carsten Lund, Berkeley Heights, NJ (US);

Subhabrata Sen, New Providence, NJ (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 12/26 (2006.01);
U.S. Cl.
CPC ...
Abstract

Disclosed herein are systems, computer-implemented methods, and computer-readable media for sampling network traffic. The method includes receiving a plurality of flow records, calculating a hash for each flow record based on one or more invariant part of a respective flow, generating a quasi-random number from the calculated hash for each respective flow record, and sampling flow records having a quasi-random number below a probability P. Invariant parts of flow records include destination IP address, source IP address, TCP/UDP port numbers, TCP flags, and network protocol. A plurality of routers can uniformly calculate hashes for flow records. Each router in a plurality of routers can generate a same quasi-random number for each respective flow record and uses different values for probability P. The probability P can depend on a flow size. The method can divide the quasi-random number by a maximum possible hash value.


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