Transmission control method and apparatus

    公开(公告)号:US12199876B2

    公开(公告)日:2025-01-14

    申请号:US18467765

    申请日:2023-09-15

    Abstract: The technology of this application relates to a transmission control method and apparatus. The method includes obtaining traffic information of a first node at M sample moments, where M is a positive integer greater than or equal to 1, determining first traffic information of the first node at a first moment based on the traffic information of the first node at the M sample moments, where the first moment does not belong to the M sample moments, determining first rate-limited traffic based on the first traffic information, where the first rate-limited traffic indicates maximum traffic that is allowed to pass through a first queue of the first node at the first moment, and limiting traffic of the first queue at the first moment based on the first rate-limited traffic.

    Predictive overlay network architecture

    公开(公告)号:US12058049B1

    公开(公告)日:2024-08-06

    申请号:US18344609

    申请日:2023-06-29

    Applicant: System73 Ltd

    CPC classification number: H04L47/127

    Abstract: The predictive overlay network architecture of the present invention improves the performance of applications distributing digital content among nodes of an underlying network such as the Internet by establishing and reconfiguring overlay network topologies over which associated content items are distributed. The present invention addresses not only frequently changing network congestion, but also interdependencies among nodes and links of prospective overlay network topologies. The present invention provides a prediction engine that monitors metrics and predicts the relay capacity of individual nodes and links (as well as demand of destination nodes) over time to reflect the extent to which the relaying of content among the nodes of an overlay network will be impacted by (current or future) underlying network congestion. The present invention further provides a topology selector that addresses node and link interdependencies while redistributing excess capacity to determine an overlay network topology that satisfies application-specific performance criteria.

    Tool port throttling at a network visibility node

    公开(公告)号:US11979326B2

    公开(公告)日:2024-05-07

    申请号:US17862070

    申请日:2022-07-11

    Applicant: Gigamon Inc.

    CPC classification number: H04L47/127 H04L47/741

    Abstract: Systems and methods are disclosed for analyzing traffic received at a network visibility node to determine traffic levels relative to capacity at tools communicatively coupled to the network visibility node and throttling traffic when the traffic levels exceed tool capacity. In an illustrative embodiment, streams received at a network visibility node are analyzed to predict a traffic level) for a given traffic flow. The predicted level of traffic for a given traffic flow is used to decide whether to forward traffic associated with the given traffic flow to a tool port of the network visibility node that is communicatively coupled to an external tool.

    Traffic fluctuation prediction device, method and program

    公开(公告)号:US11956152B2

    公开(公告)日:2024-04-09

    申请号:US17919311

    申请日:2020-04-24

    CPC classification number: H04L47/127 H04L43/04 H04L43/067

    Abstract: The present disclosure has been made in view of such a problem, and an object of the present disclosure is to make it possible to predict fluctuation of unsteady traffic with a small amount of calculation.
    A traffic fluctuation prediction apparatus (91) according to the present disclosure includes: a data division unit (12) that divides time-series data XN(t) in a certain period of the traffic into estimation and prediction data sets; a learning unit (13) that learns a dictionary Dr(t) using one of the two divided data sets, and learns a dictionary Dp(t) using the other of the two divided data sets; a prediction unit (14) that obtains a sparse code YN(t) in representing the time-series data using the learned dictionary Dr(t) and obtains a predicted value XN{circumflex over ( )}(t) of future traffic using the obtained sparse code YN(t) and the dictionary Dp(t); and a prediction correction unit (15) that corrects a prediction error of the predicted value XN{circumflex over ( )}(t) obtained by the prediction unit (14) using search for a stable region of a double queue of overestimation and underestimation.

    Probabilistic filters for use in network forwarding and services

    公开(公告)号:US11888747B2

    公开(公告)日:2024-01-30

    申请号:US17574254

    申请日:2022-01-12

    Applicant: VMware LLC

    Inventor: Heeyeol Yu

    CPC classification number: H04L47/127 H04L47/28 H04L47/32

    Abstract: Some embodiments of the invention provide novel methods for using probabilistic filters to keep track of data message flows that are processed at an element (e.g., forwarding element or middlebox service element) of a network. In some embodiments, the method iteratively switches between two probabilistic filters as the active and backup filters as a way of maintaining and refreshing its active probabilistic filter without the need for maintaining time values for removing outdated records from its active filter.

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