GRAPHICAL MEMORY SHARING
    21.
    发明公开

    公开(公告)号:US20240256348A1

    公开(公告)日:2024-08-01

    申请号:US18174438

    申请日:2023-02-24

    Applicant: Netflix, Inc.

    CPC classification number: G06F9/5033 G06F9/5038 G06F9/541

    Abstract: The disclosed computer-implemented method includes instantiating a memory management process that is configured to communicate with graphics processing hardware components to control usage of shared memory by multiple different application instances. The memory management process also receives a request from an application instance indicating that content associated with a specific resource implemented by the application instance is to be stored in the shared memory, determines that the content identified in the request has been previously stored at a specified location in the shared memory, identifies a time span during which the identified content stored in the shared memory will be immutable, and instructs the requesting application instance to access the identified content from the specified location in shared memory during the identified time span. Various other methods, systems, and computer-readable media are also disclosed.

    SIMULATION-BASED TECHNIQUES FOR EVALUATING ENCODING LADDERS FOR VIDEO STREAMING

    公开(公告)号:US20240244281A1

    公开(公告)日:2024-07-18

    申请号:US18154709

    申请日:2023-01-13

    Applicant: NETFLIX, INC.

    CPC classification number: H04N21/64738 H04N21/238 H04N21/84

    Abstract: In various embodiments, a simulation evaluation application generates a first streaming header based on rungs of a first candidate encoding ladder, where each rung specifies a resolution and a bitrate of a different encoded video. The simulation evaluation application executes an adaptive bitrate algorithm on the first streaming header based on a network throughput trace to determine a first value for a metric that is relevant to quality of experience. The simulation evaluation application generates a second streaming header based on a second candidate encoding ladder. The simulation evaluation application executes the adaptive bitrate algorithm on the second streaming header based on the network throughput trace to determine a second value for the first metric. The simulation evaluation application compares the first value to the second value to determine that the first candidate encoding ladder instead of the second candidate encoding ladder should be used to stream the media title.

    SYSTEMS AND METHODS FOR OPTIMIZING HARD DRIVE THROUGHPUT

    公开(公告)号:US20240095147A1

    公开(公告)日:2024-03-21

    申请号:US18523839

    申请日:2023-11-29

    Applicant: Netflix Inc.

    CPC classification number: G06F11/3485 G06F11/2294 G06F11/3058 G06F11/3419

    Abstract: The disclosed computer-implemented method includes accessing a hard drive to measure operational characteristics of the hard drive. The method next includes deriving hard drive health factors used to control the hard drive that are based on the measured operational characteristics. The derived hard drive health factors include an average per-seek time indicating an average amount of time the hard drive spends seeking specified data that is to be read and an average read speed indicating an average amount of time the hard drive spends reading the specified data. The method next includes determining, based on the hard drive health factors and the operational characteristics, an amount of load servicing capacity currently available at the hard drive, and then includes regulating the amount of load servicing performed by the hard drive according to the determined amount of available load servicing capacity. Various other methods, systems, and computer-readable media are also disclosed.

    SYSTEMS AND METHODS FOR PREDICTING AND MITIGATING OUT OF MEMORY KILLS

    公开(公告)号:US20240028432A1

    公开(公告)日:2024-01-25

    申请号:US18354582

    申请日:2023-07-18

    Applicant: Netflix, Inc.

    CPC classification number: G06F11/008 G06F9/5016

    Abstract: A computer-implemented method includes identifying static information associated with a computing device that is running a media playback application. The method also includes monitoring the media playback application during a playback session to identify dynamic information associated with the playback session. Still further, the method includes instantiating a trained machine learning (ML) model to determine, based on historical usage data associated with the media playback application, a likelihood that the media playback application will experience an out of memory kill. The trained ML model implements a graded window to indicate a scaled likelihood that an out of memory kill will occur within a specified timeframe. Then, according to the trained ML model's determination, the method generates a prediction that an out of memory kill will occur for the media playback application within the specified timeframe. Various other methods, systems, and computer-readable media are also disclosed.

    Watermark-based techniques for change-data-capture

    公开(公告)号:US11860849B2

    公开(公告)日:2024-01-02

    申请号:US17745739

    申请日:2022-05-16

    Applicant: NETFLIX, INC.

    CPC classification number: G06F16/2358 G06F16/2308 G06F16/2365

    Abstract: Various embodiments set forth systems and techniques for concurrent log and dump processing. The techniques include selecting, from a datastore, a chunk comprising one or more rows of data; comparing the one or more rows of data in the chunk with a first set of log events in a change log associated with the datastore, wherein each log event included in the first set of log events occurs after a first log event in the change log and prior to a second log event in the change log; selecting, based on the comparison, one or more non-conflicting rows in the chunk; and transmitting, to an output, one or more log events associated with the one or more non-conflicting rows in the chunk prior to processing a second set of log events in the change log, wherein the second set of log events occur after the second log event.

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