Burst packet preload for ABW estimation with rate limiters

    公开(公告)号:US11502965B2

    公开(公告)日:2022-11-15

    申请号:US17016329

    申请日:2020-09-09

    Abstract: Systems and methods are provided for performing burst packet preloading for Available Bandwidth (ABW) estimation, that may include: preparing a chirp train to be used for ABW estimation, the chirp train comprising a quantity of original probe packets; determining a quantity of additional probe packets that will transition the network path from a short-term mode into a long-term mode; inserting the determined quantity of additional probe packets at the beginning of the chirp train; and transmitting the chirp train, including the determined quantity of additional probe packets on the network path, to a receiver that can perform ABW estimation of the network path.

    BURST PACKET PRELOAD FOR ABW ESTIMATION WITH RATE LIMITERS

    公开(公告)号:US20220078127A1

    公开(公告)日:2022-03-10

    申请号:US17016329

    申请日:2020-09-09

    Abstract: Systems and methods are provided for performing burst packet preloading for Available Bandwidth (ABW) estimation, that may include: preparing a chirp train to be used for ABW estimation, the chirp train comprising a quantity of original probe packets; determining a quantity of additional probe packets that will transition the network path from a short-term mode into a long-term mode; inserting the determined quantity of additional probe packets at the beginning of the chirp train; and transmitting the chirp train, including the determined quantity of additional probe packets on the network path, to a receiver that can perform ABW estimation of the network path.

    AVAILABLE NETWORK BANDWIDTH ESTIMATION USING A ONE-WAY-DELAY NOISE FILTER WITH BUMP DETECTION

    公开(公告)号:US20210352001A1

    公开(公告)日:2021-11-11

    申请号:US17282838

    申请日:2018-11-01

    Abstract: Systems and methods are provided for available network bandwidth estimation using a one-way-delay noise filter with bump detection. The method includes receiving one-way delay measurements for each probe packet in a probe train sent over the telecommunications path; grouping the probe packets into a plurality of pairs based on the one-way delay measurements; for each pair, computing a respective noise threshold based on the one-way delay measurements of all the probe packets transmitted after a later-transmitted probe packet of the pair; selecting one of the pairs according to the noise thresholds and the one-way delay measurements for the probe packets of the pairs; and estimating the available bandwidth on the telecommunications path based on transmission times of the probe packets in the selected pair.

    PROACTIVELY ACCOMODATING PREDICTED FUTURE SERVERLESS WORKLOADS USING A MACHINE LEARNING PREDICTION MODEL AND A FEEDBACK CONTROL SYSTEM

    公开(公告)号:US20210184941A1

    公开(公告)日:2021-06-17

    申请号:US16714637

    申请日:2019-12-13

    Abstract: Example implementations relate to a proactive auto-scaling approach. According to an example, a target performance metric for an application running in a serverless framework of a private cloud is received. A machine-learning prediction model is trained to forecast future serverless workloads during a window of time for the application based on historical serverless workload information. The serverless framework is monitored to obtain serverless workload observations for the application. A future serverless workload for the application at a future time is predicted by the trained machine learning prediction model based on workload observations. A feedback control system is then used to output a new number of replicas based on a current value of the performance metric, the target performance metric and the predicted future serverless workload. Finally, the serverless framework is caused to scale and pre-warm a number of replicas supporting the application to the new number.

    SECURE COMPLIANCE PROTOCOLS
    79.
    发明申请

    公开(公告)号:US20190312855A1

    公开(公告)日:2019-10-10

    申请号:US15947052

    申请日:2018-04-06

    Abstract: In some examples, a secure compliance protocol may include a virtual computing instance (VCI) deployed on a hypervisor and may be provisioned with hardware computing resources. In some examples the VCI may also include a cryptoprocessor to provide cryptoprocessing to securely communicate with a plurality of nodes, and a plurality of agents to generate a plurality of compliance proofs; the VCI may communicate with a server corresponding to a node of the plurality of nodes; and receive a time stamp corresponding to at least one compliance proof based on a metric of a connected device.

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