Paul M Hudgins

US Patent:

20160057039, Feb 25, 2016

Filed:

Aug 20, 2014

Appl. No.:

14/464186

Inventors:

Aung HTAY - Alpharetta GA, US
Paul HUDGINS - Roswell GA, US
Mallikarjunappa KORE - Alpharetta GA, US

Assignee:

CIENA CORPORATION - Hanover MD

International Classification:

H04L 12/26
G06F 9/455

Abstract:

A method, through a server, to determine carbon footprint of a network service, in a network, includes determining power consumption and cooling requirements of network devices associated with the network service; determining associated carbon footprint coefficients for power sources associated with each of the network devices; and determining carbon footprint of the network service based on the power consumption, the cooling requirements, and the associated carbon footprint coefficients.

US Patent:

20150271043, Sep 24, 2015

Filed:

Mar 18, 2014

Appl. No.:

14/217825

Inventors:

Aung Htay - Alpharetta GA, US
Paul Hudgins - Roswell GA, US
Mallikarjunappa Kore - Alpharetta GA, US

Assignee:

CIENA CORPORATION - Hanover MD

International Classification:

H04L 12/26

Abstract:

A computer-implemented method, a controller, and a Software Defined Network (SDN) perform steps of correlating users based on unique identifiers to service addresses; receiving historical data from associated control area operator for the service addresses; correlating the users' bandwidth usage behavior to the users' power usage behavior; monitoring the users' bandwidth usage over time; characterizing bandwidth usage type for the users with abnormal bandwidth usage patterns; and notifying the control area operator of the users with the abnormal bandwidth usage patterns based on the characterized bandwidth usage type. Accordingly, electric power forecasting by the control area operator can include improved accuracy through correlating the users' bandwidth usage behavior and detecting abnormal conditions.

US Patent:

20150127805, May 7, 2015

Filed:

Nov 4, 2013

Appl. No.:

14/071224

Inventors:

Aung Htay - Alpharetta GA, US
Paul Hudgins - Roswell GA, US
Mallikarjunappa Kore - Alpharetta GA, US

Assignee:

Ciena Corporation - Hanover MD

International Classification:

H04L 12/911
H04L 29/06
H04L 12/26

US Classification:

709224

Abstract:

A method, a Software-Defined Networking (SDN) controller, and a network include operation of a multi-layer SDN network and uniquely identifying streaming content on higher layers relative to the multi-layer SDN network through deep packet inspection; associating the streaming content to a multi-layer service on the SDN network; and monitoring the streaming content on the SDN network over the multi-layer service. This can include dynamically adjusting bandwidth of the multi-layer service utilizing OpenFlow on the SDN network based on the monitoring. The deep packet inspection can utilize a Bloom filter embedded in a resource identifier of the streaming content by the content provider, wherein the embedded Bloom filter is transparent to content players and does not require changes to storage on associated web servers for the streaming content.

US Patent:

20140177450, Jun 26, 2014

Filed:

Dec 26, 2012

Appl. No.:

13/727111

Inventors:

S. Kris CHOU - Alpharetta GA, US
Paul HUDGINS - Roswell GA, US
Aung HTAY - Alpharetta GA, US

International Classification:

H04L 12/26

US Classification:

370241

Abstract:

A method, a server, and a management system correlate performance data in loosely coupled software, such as network and element management systems, with minimal overhead. The systems and methods can be used to determine performance bottlenecks and interdependencies between components by correlating and analyzing collected data. In an exemplary embodiment, the systems and methods can relate to network management systems (NMSs), element management systems (EMSs), and the like, which are collectively referred to herein as management systems. Management systems can include a loosely coupled software architecture that utilizes a message-based communication mechanism. As messages are processed, synchronous calls between components of the management system as employed as well. For the purpose of performance analysis and optimization, the systems and method correlate data between synchronous and asynchronous interactions as each message is processed through a management system.