Performance and Privacy Ireland Limited

Opera Software Ireland Limited

Skyfire Labs, Inc.

Jaime Heilpern

Erik R Swenson

Robert Oberhofer

Nitin Bhandari

Vadim Arshanskiy

Sandeep Pombra

Ron Earley

Jack Furr

John Hansen

Naveen Puvvula

Michael Guzewicz

Vijay Kumar

Geoffrey Dale Benson

James Marzano

Ishika Paul

A system provides monitoring for application usage on a device, such as a mobile device, using network consumption data of the device. The system determines an application list of applications executing on a device, determines application strings associated with the applications, receives network consumption data for a process executing on the device, and determines consumption data strings from the network consumption data. The system further determines match scores by identifying matching strings between the application strings and the consumption data strings along weighted search paths defined between the application strings and the consumption data strings, identifies an application from the application list for the process based on the match scores, and associates the network consumption data for the process with the application. The system generates usage data for the application by aggregating network consumption data associated with the application over time.

Deriving mobile application usage from network traffic

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

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 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 system and a method are disclosed for identifying video files on a webpage and streaming video files to a client device. A server receives browsing data including uniform resource locator for a webpage and identifies missing videos on the webpage. The server identifies a source file for the missing videos including identifying a location for each missing video. The server retrieves a thumbnail for each missing video and provides it to a client device. Additionally, the server transcodes the video file responsive to a user input provided by a user. The transcoded video is streamed to the client device.

Assisted hybrid mobile browser

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San Francisco, CA, United States of America

Jaime Heilpern