PROACTIVE CONTENT PLACEMENT FOR LOW LATENCY MOBILE ACCESS

    公开(公告)号:US20210360740A1

    公开(公告)日:2021-11-18

    申请号:US16876648

    申请日:2020-05-18

    Abstract: The described technology is generally directed towards proactive content placement for low latency mobile access. Digital content requested by a mobile device can be sent to network nodes proactively, so that the network nodes have the digital content before it is requested by the mobile device. Mobile device travel predictions can be made to predict future locations of the mobile device. The future locations can be used to determine network nodes for proactive digital content delivery. The digital content for delivery to a network node can also be predicted based on current digital content in use at the mobile device and estimated arrival times of the mobile device into service areas of next network nodes.

    SHARED OVERLAY MAPS
    22.
    发明申请

    公开(公告)号:US20210285788A1

    公开(公告)日:2021-09-16

    申请号:US16815333

    申请日:2020-03-11

    Abstract: The described technology is generally directed towards creation of shared overlay maps to support automated, real-time, cross-platform sharing of map information among groups of digital navigational map users, including but not limited to unmanned ground vehicles (UGVs). A central map authority (or other collaborative/federated organizational entity) can receive map overlay information from a mobile subscriber device, such as a UGV. The central map authority can promulgate the map overlay information to a group of multiple mobile subscriber devices according to the techniques described herein. Individual mobile subscriber devices can use received map overlay information, along with their individual digital navigational maps (DNMs) and navigation systems, to plan their individual routes.

    Recursive modularization of service provider components to reduce service delivery time and cost

    公开(公告)号:US10248472B2

    公开(公告)日:2019-04-02

    申请号:US14929793

    申请日:2015-11-02

    Abstract: Concepts and technologies disclosed herein are directed to recursive modularization of service provider components to reduce service delivery time and cost. In accordance with one aspect disclosed herein, a module is executable by a hardware compute resource of a virtualization platform. The module can include a module controller and a module instance. The module controller can expose a set of application programming interfaces (“APIs”). The set of APIs can include a configuration API that collects a configuration to be utilized to instantiate the module instance. The set of APIs also can include an instance provisioning API that instantiates the module instance based upon the configuration. The set of APIs also can include one or more other APIs to manage the module instance. The module instance can be a service module instance. The service module instance can encapsulate additional service module instances that have been instantiated by another module.

    Intelligent Preventative Maintenance of Critical Applications in Cloud Environments

    公开(公告)号:US20190095265A1

    公开(公告)日:2019-03-28

    申请号:US15715589

    申请日:2017-09-26

    Abstract: An intelligent preventative maintenance architecture for maintaining a plurality of cloud components operating within a cloud computing environment is disclosed. The architecture can perform a predictive failure analysis that monitors health of at least a portion of the plurality of cloud components that hosts a mission critical application. The predictive failure analysis receives sensor data that includes environmental data associated with environmental characteristics of the cloud computing environment and cloud component data associated with operational characteristics of at least a portion of the plurality of cloud components operating within the cloud computing environment. The predictive failure analysis analyzes the sensor data to detect an abnormal pattern within the sensor data, determines a root cause of the abnormal pattern, and predicts a probability of a failure of at least one cloud component of the plurality of cloud components.

    Policy definition and enforcement for extended reality media sessions

    公开(公告)号:US11494951B2

    公开(公告)日:2022-11-08

    申请号:US16937675

    申请日:2020-07-24

    Abstract: An example method performed by a processing system includes receiving a request from a first user to render an extended reality environment, wherein the request includes a definition of a first policy that governs user behavior within the extended reality environment, rendering the extended reality environment by presenting content contributed by at least one user in the extended reality environment, monitoring the extended reality environment to ensure that the rendering results in a compliance of the extended reality environment with the first policy, detecting that a portion of the content contributed by at least one other user of the extended reality environment results in the extended reality environment failing to comply with the first policy, and modifying a presentation of the portion of content in the extended reality environment in response to the detecting, wherein the modifying results in the compliance of the extended reality environment with the first policy.

    VARIABLE-INTENSITY IMMERSION FOR EXTENDED REALITY MEDIA

    公开(公告)号:US20220174131A1

    公开(公告)日:2022-06-02

    申请号:US17106805

    申请日:2020-11-30

    Abstract: An example method includes obtaining a profile of a user using a user device to present an immersive experience, wherein the profile specifies a user reaction indicator and a value that represents a baseline for the user reaction indicator, presenting the immersive experience on the user device, receiving user state data including a current value of the user reaction indicator, determining that the current value of the user reaction indicator deviates from the value that represents the baseline by more than a threshold, in response to the determining, selecting, from among a plurality of variants for a segment of the immersive experience, a variant that is expected to cause the current value of the user reaction indicator to adjust to a value that does not deviate from the value that represents the baseline by more than the threshold, and presenting the variant that is selected on the user device.

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