Matthew Roughan

7467224, Dec 16, 2008

Feb 17, 2004

10/781542

Kartikeya Chandrayana - Troy NY, US
Matthew Roughan - Morristown NJ, US
Subhabrata Sen - Chatham NJ, US
Yin Zhang - Lake Hiawatha NJ, US

AT&T Intellectual Property II, L.P. - Reno NV

G06F 15/16

709238, 709240

A method for balancing traffic across paths connecting a network to the Internet using a fractional allocation strategy for distributing the traffic from a congested selected path. The strategy includes: (a) associating the paths j with a counter i; (b) calculating the total initial selected path overload; (c) calculating the selected path load, wherein the load is equal to the initial selected path overload less the sum of the low capacity boundary for i path(s); (d) calculating the portion of the traffic on the selected path to be distributed using a bi-sectional search strategy; (e) distributing a portion of the traffic on the selected path to the other paths; and (f) stopping if there are no more paths (i=j), otherwise increasing the numerical value of the counter by one (1) and go to step (c).

7574506, Aug 11, 2009

Sep 26, 2007

11/904086

Nicholas G. Duffield - New York NY, US
Albert Gordon Greenberg - Summit NY, US
John G. Klincewicz - Wayside NJ, US
Matthew Roughan - Morristown NJ, US
Yin Zhang - Lake Hiawatha NJ, US

AT&T Intellectual Property II, L.P. - Reno NV

G06F 15/173

709224

A method and apparatus for the estimation of traffic matrices in a network are disclosed.

7660248, Feb 9, 2010

Jan 23, 2004

10/764001

Nicholas G. Duffield - New York NY, US
Matthew Roughan - Morristown NJ, US
Subhabrata Sen - Chatham NJ, US
Oliver Spatscheck - Randolph NJ, US

H04L 12/26

3702301, 370229, 370232, 370235, 370238, 370252

A signature-based traffic classification method maps traffic into preselected classes of service (CoS). By analyzing a known corpus of data that clearly belongs to identified ones of the preselected classes of service, in a training session the method develops statistics about a chosen set of traffic features. In an analysis session, relative to traffic of the network where QoS treatments are desired (target network), the method obtains statistical information relative to the same chosen set of features for values of one or more predetermined traffic attributes that are associated with connections that are analyzed in the analysis session, yielding a statistical features signature of each of the values of the one or more attributes. A classification process then establishes a mapping between values of the one or more predetermined traffic attributes and the preselected classes of service, leading to the establishment of QoS treatment rules.

7917650, Mar 29, 2011

Sep 9, 2008

12/283036

Kartikeya Chandrayana - Troy NY, US
Matthew Roughan - Morristown NJ, US
Subhabrata Sen - Chatham NJ, US
Yin Zhang - Laka Hiawatha NJ, US

AT&T Intellectual Property II, L.P. - Atlanta GA

G06F 15/173

709238, 709241

A method for balancing traffic across paths connecting a network to the Internet using a fractional allocation strategy for distributing the traffic from a congested selected path. The strategy includes: (a) associating the paths j with a counter i; (b) calculating the total initial selected path overload; (c) calculating the selected path load, wherein the load is equal to the initial selected path overload less the sum of the low capacity boundary for i path(s); (d) calculating the portion of the traffic on the selected path to be distributed using a bi-sectional search strategy; (e) distributing a portion of the traffic on the selected path to the other paths; and (f) stopping if there are no more paths (i=j), otherwise increasing the numerical value of the counter by one (1) and go to step (c).

8031599, Oct 4, 2011

Dec 10, 2009

12/635127

Nicholas G. Duffield - New York NY, US
Matthew Roughan - Morristown NJ, US
Subhabrata Sen - Chatham NJ, US
Oliver Spatscheck - Randolph NJ, US

H04L 12/28

3702301, 370229, 370232, 370235, 370238, 370252

A signature-based traffic classification method maps traffic into preselected classes of service (CoS). By analyzing a known corpus of data that clearly belongs to identified ones of the preselected classes of service, in a training session the method develops statistics about a chosen set of traffic features. In an analysis session, relative to traffic of the network where QoS treatments are desired (target network), the method obtains statistical information relative to the same chosen set of features for values of one or more predetermined traffic attributes that are associated with connections that are analyzed in the analysis session, yielding a statistical features signature of each of the values of the one or more attributes. A classification process then establishes a mapping between values of the one or more predetermined traffic attributes and the preselected classes of service, leading to the establishment of QoS treatment rules.

7293086, Nov 6, 2007

Jul 25, 2003

10/627767

Nicholas G. Duffield - New York NY, US
Albert Gordon Greenberg - Summit NJ, US
John G. Klincewicz - Wayside NJ, US
Matthew Roughan - Morristown NJ, US
Yin Zhang - Lake Hiawatha NJ, US

AT&T Corp. - New York NY

G06F 15/173

709224

A method and apparatus for the estimation of traffic matrices in a network are disclosed. Mechanisms are disclosed for measuring traffic volume from a plurality of ingress points to a plurality of egress points in a large scanl network, such as an IP backbone network. The traffic matrix is advantageously inferred from widely available link load measurements such as SNMP data.