Peer-to-Peer Video Data Sharing
    34.
    发明申请

    公开(公告)号:US20180007430A1

    公开(公告)日:2018-01-04

    申请号:US15705892

    申请日:2017-09-15

    Abstract: A method includes storing multicast transmission data at a peer-to-peer server. The multicast transmission data indicates multicast groups to which network elements are joined. The method includes receiving, at the peer-to-peer server from a first network element, a request related to a previously sent data packet of media content. The method includes determining, at the peer-to-peer server, whether a second network element can be identified, where the second network element was joined to a multicast group associated with the media content when the previously sent data packet was sent. The method also includes, in response to identifying the second network element, sending information identifying the second network element from the peer-to-peer server to the first network element.

    ADJUSTING TRIGGERS FOR AUTOMATIC SCALING OF VIRTUAL NETWORK FUNCTIONS

    公开(公告)号:US20220303192A1

    公开(公告)日:2022-09-22

    申请号:US17805680

    申请日:2022-06-06

    Abstract: A method performed by a processor in a network function virtualization infrastructure includes determining an amount of resources consumed by a virtual network function subsequent to a scaling of the amount of resources in response to an occurrence of a predefined trigger event, determining an amount of time elapsed between the predefined trigger event and a completion of the scaling, determining a key performance indicator value for the virtual network function subsequent to completion of the scaling, evaluating an efficiency of the predefined trigger event that triggers the scaling, based on the amount of resources consumed by the virtual network function subsequent to the scaling, the amount of time elapsed between the detection of the predefined trigger event and completion of the scaling, and the key performance indicator for the virtual network function subsequent to completion of the scaling, and adjusting the predefined trigger event based on the evaluating.

    Adjusting triggers for automatic scaling of virtual network functions

    公开(公告)号:US11356336B2

    公开(公告)日:2022-06-07

    申请号:US17087580

    申请日:2020-11-02

    Abstract: A method performed by a processor in a network function virtualization infrastructure includes determining an amount of resources consumed by a virtual network function subsequent to a scaling of the amount of resources in response to an occurrence of a predefined trigger event, determining an amount of time elapsed between the predefined trigger event and a completion of the scaling, determining a key performance indicator value for the virtual network function subsequent to completion of the scaling, evaluating an efficiency of the predefined trigger event that triggers the scaling, based on the amount of resources consumed by the virtual network function subsequent to the scaling, the amount of time elapsed between the detection of the predefined trigger event and completion of the scaling, and the key performance indicator for the virtual network function subsequent to completion of the scaling, and adjusting the predefined trigger event based on the evaluating.

    Adjusting triggers for automatic scaling of virtual network functions

    公开(公告)号:US10826789B2

    公开(公告)日:2020-11-03

    申请号:US16234248

    申请日:2018-12-27

    Abstract: A method performed by a processor in a network function virtualization infrastructure includes determining an amount of resources consumed by a virtual network function subsequent to a scaling of the amount of resources in response to an occurrence of a predefined trigger event, determining an amount of time elapsed between the predefined trigger event and a completion of the scaling, determining a key performance indicator value for the virtual network function subsequent to completion of the scaling, evaluating an efficiency of the predefined trigger event that triggers the scaling, based on the amount of resources consumed by the virtual network function subsequent to the scaling, the amount of time elapsed between the detection of the predefined trigger event and completion of the scaling, and the key performance indicator for the virtual network function subsequent to completion of the scaling, and adjusting the predefined trigger event based on the evaluating.

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