Extreme Networks, Inc.

Opera Software Ireland Limited

Skyfire Labs, Inc.

Performance and Privacy Ireland Limited

National Semiconductor Corporation

Negotiated Data Solutions LLC

Erik R Swenson

Nitin Bhandari

Christopher J Young

David K Parker

Jaime Heilpern

Justin N Chueh

Stephen R Haddock

Rajarshi Gupta

Michael Yip

Ravi Tangirala

Meera Kasinathan

Robert Oberhofer

Vadim Arshanskiy

Sid Khattar

Vijay Kumar

Sandeep Pombra

Ron Earley

Herb Schneider

R Steven Smith

Michael Guzewicz

Dwayne Hunnicutt

Thuan D Nguyen

Khoi D Vu

John Hansen

Kevin Fatheree

David Scott Parker

Gregory Lee DeJager

Brian C Edem

Geoffrey Dale Benson

Siddharth Khattar

Meera Siva

James Marzano

James Robert Bauder

Kha H Nguyen

Paul Foster

Ishika Paul

Gregory L Dejager

Nirmal Nair

Kevin S Fatherree

Kathleen E Cimino

Michael M Yip

Thuan Nguyen

A video optimizer receives a request to optimize a source file and stream the optimized file. The request may be accompanied by a key uniquely identifying the original source file to be optimized and an optimized version of the source file to stream to the client. The key uniquely identifies the source video file as it exists on an origin server to prevent transmission of modified source video and the optimized version of the source file by optimization parameters to ensure compatibility with the user device. The video optimizer queries a cache database in response to the received request, which contains references keys and locations of optimized source files among local caches in a cluster of video optimizers. The cache database responds indicates whether a matching optimized version of the source file exists in a local cache of a given video optimizer in the cluster.

Just-in-time distributed video cache

The disclosed configuration includes a partial pre-fetching of source files from an origin server for playback. After pre-fetch, the remaining portions of a source file may be optimized for retrieval. By providing partial pre-fetch of source files, in conjunction with optimization, automatic video preview may be supported and source file presentation may begin in a timely fashion in response to user requested playback without inordinate bandwidth consumption.

Partial video pre-fetch

A system and a method are creating a linked list scripts for a networking device. The system receives a set of nodes defining script functionality and generates a script by coupling the nodes in a nodal structure based on desired order of execution, wherein a leaf node is an standalone node with no child node, and wherein a nugget node includes one or more child nodes, each child node being a nugget or leaf node. The system then determines an execution path through a subset of nodes in the nodal tree structure based on one or more input values. The system also compiles the subset of nodes into a linked list of operations, which follows the execution path, and executes the path of operations within the compiled linked list of operations.

Linked list scripting engine

A request to retrieve data from a client device is intercepted by a video detector. The video detector determines if the request is for retrieving a video file. If the request is for a video file, and the video file is deemed to be transcoded to be displayed on the client device, the video detector forwards the request to a video optimizer along with encoding parameters. Encoding parameters are selected by the video detector based on properties of the client device, networks accessible by the client device, conditions of those networks, properties of the requested video and the type of video requested. The encoding parameters also include a file format type to which the requested video is to be transcoded.

Real-time video detector

A system and a method are disclosed for selectively monitoring traffic in a service provider network. The system receives a notice for a beginning of a network data flow, which responds to a request from a user device for content at an origin server. The system then determines whether to monitor the data flow from the origin server to the user device. If so determined, the system collects statistic information of the data flow and stores the statistic information to a flow record in a database. The system also maps the flow record to a subscriber of the service provider network by analyzing the statistic information of the data flow and estimates bandwidth provided to the data flow by the service provider's network based on the analysis of the statistic information of the data flow.

Real-time network monitoring and subscriber identification with an on-demand appliance

A system and a method are disclosed for transcoding video files on a server such that they can be streamed to a client device in substantially real-time. The server receives a video file a uses a prediction algorithm to predict each video frame's size based on encoding and streaming parameters associated with the input file and an output stream and transcoding each video frame. If a transcoded frame is too large, it is compressed further, if it is too small, the video file is padded. As such, each video frame transcoded or padded until the encoded frame is the same size as a predicted size. The transcoded frames are streamed to a client device to enable the client to device to playback the video after requesting it from the server.

Real-time audio or video transcoding

A hybrid bitmap-mode video coding system encodes and decodes a plurality of video frames with optimized coding performance. The coding system filters a video frame to determine an appropriate encoding mode. In response to the video frame to be encoded in bitmap-mode, the coding system generates a bitmap and DCT-type data of the video frame. The bitmap data of the video frame are encoded losslessly to keep the high quality of the video frame. The DCT-type data of the video frame are encoded with compression. The bitmap-mode encoding enables the coding system to flexibly encode part of a video frame data lossless and encode the rest of the frame data lossy. As such, the lossless encoding of the frame provides high quality of important data of the frame, and at the same time maintains high compression ratio on less important data of the frame.

Hybrid bitmap-mode encoding

A video optimizer receives a request to optimize a video, wherein the request includes optimization parameters and a uniform resource locator (URL) of the video. The video optimizer retrieves the video from an origin server and transcodes the video based on optimization parameters. The video optimizer load balances several transcoding sessions over one or more servers and tracks each session based on session identifications (IDs). Additionally, the video optimizer tracks each session to determine when a server is at or near capacity to prevent an overflow situation. The video optimizer is also enabled to stitch together two or more transcoding sessions in the event of a seek operation by a user during video playback. The video optimizer streams the video to the client device, enabling the client device to stream videos in substantially real-time after requesting the video.

Real-time video optimizer

A programmable processor configured to perform one or more packet modifications through execution of one or more commands. A pipelined processor core comprises a first stage configured to selectively shift and mask data in each of a plurality of categories in response to one or more decoded commands, and combine the selectively shifted and masked data in each of the categories. The pipelined processor core further comprises a second stage configured to selectively perform one or more operations on the combined data from the first stage and other data responsive to the one or more decoded commands. In one implementation, the processor is implemented as an application specific integrated circuit (ASIC).

Packet data modification processor

A system and a method are disclosed for authenticating a user request to determine whether to optimize content requested by the user based on a user profile, a network provider profile, network conditions and the user's service level with an application requesting the content. A user profile provides, for example a data rate plan subscribed to by the user, the user's device type, etc. Network provider profile provides whether the network provider has subscribed to optimization services. Similarly, user's service level provides whether the application is subscribed to receive optimized data. If the user, the network and the application provide for optimization or if the network is congested or busy, the user is provided with a destination address wherein the user may retrieve optimized content.

Client-selected network services

A network-based video encoding and decoding system encodes and decodes remotely displayed user application data on a centralized desktop computer. Remotely displayed user application data are screen captures of a browsing application run by the centralized desktop computer on user's behalf. The encoding system optimizes its encoding performance using back channel information which includes real time network capacity information and decoder feedback. The encoding system consults a back channel information manager to dynamically adjust encoding parameters. Based on the real time network capacity information received, the encoding system adjusts its capturing sampling rate. Based on encoding errors identified by the decoding system, the encoding system selectively re-send previously encoded frames/blocks, or send intra frames on demand to allow the decoding system to correct encoding errors. In response to encoding customization requests from the decoding system, the encoding system adjusts its encoding parameters to meet such requests.

Network-based dynamic encoding

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San Jose, CA, United States of America

Erik R Swenson