At&t Intellectual Property I, L.p.

Andrew G Gauld

John F Lucas

Alan L Glasser

Kadangode K Ramakrishnan

Vijay Gopalakrishnan

Robert Bell

Thomas Ostrand

Elaine Weyuker

A protocol converter includes a processor configured to receive a request for content from a client system. The processor is further configured to determine if the protocol converter is currently receiving the content through the multicast session, and join the multicast session if the protocol converter is not currently receiving the content. Additionally, the processor is configured to receive the content as an end point of the multicast session, format the content for communication to the client system, and provide content to the client system in a communication separate from the multicast session. Receiving the content as an end point of the multicast session can include terminating the application layer protocol used by the multicast session. Additionally, formatting the content can include re-encapsulating the content as hypertext transport protocol (HTTP) with an appropriate content-type.

Multicast-unicast protocol converter

A content monitor includes a processor that at least receives requests from a plurality of clients for content, instructs each client to retry their respective request at a first later time if the request is received before a first time, counts the requests to determine if a number of the requests exceeds a threshold if the request is received before a second time, instructs each client to retry their respective request at a second later time if the counted number of requests does not exceed a first threshold, instructs each client to join a multicast group to receive the content when the number of requests exceeds the first threshold, and counts a number of late clients joining the multicast group after a first portion of the content has been sent to the multicast group.

Synchronization of clients to maximize multicast opportunities

Method, system and computer-readable medium to distribute VOD content are disclosed. A method of displaying video content includes accessing an association table for video-on-demand (VOD) content. The association table includes a first segment entry associated with a first video segment of a first length and a second segment entry associated with a second video segment of a second length that is longer than the first length. The first segment entry includes a first multicast group ID and the second segment entry includes a second multicast group ID. The method further includes receiving the first video segment via the first multicast group ID, displaying the received first video segment, and receiving the second video segment via the second multicast group ID within a period of time of displaying the first video segment.

System and method to distribute video-on-demand content

A content delivery system includes a unicast content delivery module, a multicast content delivery module, and a content monitor module. The unicast content delivery module is configured to provide content using a unicast protocol, and the multicast content delivery module is configured to provide the content using a multicast protocol. The content monitor module is configured to receive requests from a plurality of clients for the content, count the requests to determine if the number of requests exceeds a threshold, and instruct the plurality of clients to receive the content from the multicast content delivery module when the number of requests exceeds the threshold.

A method, apparatus, and computer-readable medium for predicting the fault-proneness of code units (files, modules, packages, and the like) of large-scale, long-lived software systems. The method collects information about the code units and the development process from previous releases, and formats this information for input to an analysis stage. The tool then performs a statistical regression analysis on the collected data, and formulates a model to predict fault counts for code units of the current and future releases. Finally, the method computes an expected fault count for each code unit in the current release by applying the formulated model to data from the current release. The expected fault counts are used to rank the release units in descending order of fault-proneness so that debugging efforts and resources can be optimized.

Tool for predicting fault-prone software files

A method of delivering content to a client includes receiving a request for the content from the client at a first server, determining the size of the content, and determining an optimal server to provide the content. The method further includes redirecting the client to the optimal server when the size of the content is above a threshold.

Growing community of inventors

Middletown, NJ, United States of America

Andrew G Gauld