Sep 2008 to Present Referee/CoachWalt Disney World Orlando, FL Aug 2010 to May 2011 Cook 2Ferderal Work studies Pasadena, CA Aug 2009 to Feb 2010 Le Cordon Bleu CookStore
Education:
Riverside Community College Business ManagementLe Cordon Bleu College of Culinary Arts Los Angeles Pasadena, CA Jan 2009 to Jan 2010 Associates of Occupational in CulinaryColony High School Ontario, CA 2009 Diploma
CASA Express ( UX Specialized Logistics ) Avenel, NJ Aug 2014 to Oct 2014 Dispatcher/ Client Service CoordinatorChromis Fiberoptics Township of Warren, NJ Sep 2013 to Oct 2013 Production OperatorCostume Super Center Facility Edison, NJ Oct 2012 to Oct 2012 Seasnal Picker/ PackerWilliams - Sonoma Township of South Brunswick, NJ Jul 2012 to Oct 2012 Temp Warehouse AssociateL'Oreal Warehouse Facility Somerset, NJ Feb 2012 to May 2012 Temp Warehouse / Production AssociateUnited Parcel Service (UPS) Bound Brook, NJ Nov 2011 to Dec 2011 Seasonal Driver HelpersKings Island Amusement Park Mason, OH Jun 2006 to Aug 2006 Team Crew
Education:
University of Maryland Princess Anne, MD 2008 to 2011 N/A in BiologyPlainfield High School 2008
Name / Title
Company / Classification
Phones & Addresses
Aaron Archer Pastor
Russian Orthodox Church Religious Organization
40 W St, Chestnut Ridge, NY 10977 8454250259
Aaron Archer Religious Leader
St John The Baptist Russian Orthodox Church Religious Organization
David L. Applegate - Maplewood NJ, US Aaron F. Archer - South Orange NJ, US Vijay Gopalakrishnan - Summit NJ, US Seungjoon Lee - Basking Ridge NJ, US Kadangode Ramakrishnan - Berkeley Heights NJ, US
Assignee:
AT&T Intellectual Property I, L.P. - Reno NV
International Classification:
H04N 7/173
US Classification:
725 95, 725 97
Abstract:
A method includes receiving data identifying new media content items to be added to a media distribution system that provides media content on demand to a plurality of endpoints. The media distribution system includes a plurality of distribution nodes, and each of the distribution nodes is coupled to a subset of the endpoints. Historical demand is determined during a particular time period for existing media content items that include content available via at least one of the distribution nodes before the data was received. The method includes forecasting demand for media content items, including new media content items and existing media content items, based on the historical demand. Each media content item is assigned to, and stored at, at least one corresponding distribution node based at least partially on a cost function and the forecasted demand.
Using Video Viewing Patterns To Determine Content Placement
David Applegate - Maplewood NJ, US Aaron Archer - South Orange NJ, US Kyung-Wook Hwang - New York NY, US Vijay Gopalakrishnan - Edison NJ, US Seungjoon Lee - Basking Ridge NJ, US Kadangode K. Ramakrishnan - Berkeley Heights NJ, US Deborah F. Swayne - Summit NJ, US
Assignee:
AT&T Intellectual Property I.L.P. - Atlanta GA
International Classification:
H04N 21/20
US Classification:
725 87
Abstract:
A method includes receiving demand information for a first segment of a media content item and receiving demand information for a second segment of the media content item. The method includes assigning the first segment to a first set of distribution nodes of a media content distribution system based at least partially on the demand information for the first segment and based at least partially on a first cost function and assigning the second segment to a second set of distribution nodes of the media content distribution system based at least partially on the demand information for the second segment and based at least partially on a second cost function. The media content distribution system includes a plurality of distribution nodes and each distribution node is configured to provide media content items to at least some of a plurality of endpoints.
AARON ARCHER - Hoboken NJ, US Shankar Krishnan - Chatham NJ, US
International Classification:
G06F 15/16
US Classification:
709227
Abstract:
A method and apparatus for providing facility location plans for a network are disclosed. For example, the method identifies a facility and a number of nearest active clients associated with a minimized cost per unit demand of connecting these clients to this facility. The method then connects the number of nearest active clients to the facility associated with the minimized cost per unit demand. In one embodiment, the method iterates this process with the remaining clients until all demands have been assigned to facilities.
- Atlanta GA, US Aaron F. Archer - South Orange NJ, US Vijay Gopalakrishnan - Summit NJ, US Seungjoon Lee - Basking Ridge NJ, US Kadangode Ramakrishnan - Berkeley Heights NJ, US
International Classification:
H04N 21/25 H04N 21/472 H04N 21/2225
US Classification:
725 95, 725 97
Abstract:
A method includes forecasting demand for media content items of a media distribution system based on historical demand information to generate forecasted demand. The method includes generating a mixed integer program model based on storage constraints of a plurality of distribution nodes of the media distribution system, bandwidth constraints of the media distribution system, and the forecasted demand. The method includes performing a Lagrangian relaxation operation using the mixed integer program model. The method includes determining values of a cost function based on a result of the Lagrangian relaxation operation. The method includes assigning each of the media content items to a corresponding distribution node of the plurality of distribution nodes based on the cost function and the forecasted demand.