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:
Jan. 10, 2012

Filed:

Jul. 21, 2008
Applicants:

Jia Wang, Randolph, NJ (US);

Zihui GE, Florham Park, NJ (US);

Hongbo Jiang, Cleveland, OH (US);

Shudong Jin, Solon, OH (US);

Andrew W. Moore, Cambridge, GB;

Inventors:

Jia Wang, Randolph, NJ (US);

Zihui Ge, Florham Park, NJ (US);

Hongbo Jiang, Cleveland, OH (US);

Shudong Jin, Solon, OH (US);

Andrew W. Moore, Cambridge, GB;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 13/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

Managing network traffic to improve availability of network services by classifying network traffic flows using flow-level statistical information and machine learning estimation, based on a measurement of at least one of relevance and goodness of network features. Also, determining a network traffic profile representing applications associated with the classified network traffic flows, and managing network traffic using the network traffic profile. The flow-level statistical information includes packet-trace information and is available from at least one of Cisco NetFlow, NetStream or cflowd records. The classification of network flows includes tagging packet-trace flow record data based on defined packet content information. The classifying of network flows can result in the identification of a plurality of clusters based on the measurement of the relevance of the network features. Also, the classification of network traffic can use a correlation-based measure to determine the goodness of the network features.


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