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:
Feb. 02, 2021

Filed:

Oct. 20, 2017
Applicant:

Forward Networks, Inc., Palo Alto, CA (US);

Inventors:

Peyman Kazemian, Redwood City, CA (US);

Yasser Ganjisaffar, Sunnyvale, CA (US);

Sivasankar Radhakrishnan, Santa Clara, CA (US);

Nikhil Handigol, Milpitas, CA (US);

Assignee:

Forward Networks, Inc., Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 12/24 (2006.01); H04L 12/721 (2013.01); H04L 12/26 (2006.01); H04L 12/751 (2013.01); H04L 12/715 (2013.01);
U.S. Cl.
CPC ...
H04L 41/147 (2013.01); H04L 41/14 (2013.01); H04L 43/50 (2013.01); H04L 45/124 (2013.01); H04L 45/26 (2013.01); H04L 41/12 (2013.01); H04L 45/02 (2013.01); H04L 45/64 (2013.01);
Abstract

Embodiments of the present invention can use a protocol-independent, vendor-independent, efficient and scalable abstraction model for representing the forwarding functionality of networks. Such a model can be used for systematic analysis and verification of networks. Packet header values may be represented as groups of one or more wildcarded bit strings, where unspecified header values are assumed to be fully wildcarded. This representation can describe many combinations of packets in a space-efficient way, enables more efficient tracing and transformation operations, and can even represent traffic from large internet routing tables efficiently. As a result of the scalability benefits of this more effective way to store and operate on packet collections, network modeling can scale to some of the largest, most complicated networks—those where the benefits are the greatest.


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