Congestion Control For Low Latency Datacenter Networks

    公开(公告)号:US20230033871A1

    公开(公告)日:2023-02-02

    申请号:US17960900

    申请日:2022-10-06

    Applicant: Google LLC

    Abstract: Systems and methods for controlling congestion in a data network are provided. A base target round-trip time (RTT) for packets of a network flow including packets transmitted from a source network device to destination network device is obtained. A number of hops packets associated with the network flow traverse between the source network device and the destination network device is determined. A topology scaled target RTT for the network flow is determined based on the base target RTT and the determined number of hops. A congestion window size for the network flow is managed based on the topology scaled target RTT.

    Congestion control for low latency datacenter networks

    公开(公告)号:US11750525B2

    公开(公告)日:2023-09-05

    申请号:US17960900

    申请日:2022-10-06

    Applicant: Google LLC

    CPC classification number: H04L47/283 H04L43/0864

    Abstract: Systems and methods for controlling congestion in a data network are provided. A base target round-trip time (RTT) for packets of a network flow including packets transmitted from a source network device to destination network device is obtained. A number of hops packets associated with the network flow traverse between the source network device and the destination network device is determined. A topology scaled target RTT for the network flow is determined based on the base target RTT and the determined number of hops. A congestion window size for the network flow is managed based on the topology scaled target RTT.

    Congestion control for low latency datacenter networks

    公开(公告)号:US11509593B2

    公开(公告)日:2022-11-22

    申请号:US17185020

    申请日:2021-02-25

    Applicant: Google LLC

    Abstract: Systems and methods for controlling congestion of a data network are provided. An engine round-trip time (RTT) and a fabric RTT for a network flow are determined. An engine-based congestion window size for the flow is determined based on the engine RTT and a target engine RTT. A fabric-based congestion window size for the flow is determined based on the fabric RTT and a target fabric RTT. The smaller of the engine-based congestion window size and the fabric-based window size is selected for use in transmitting a future packet associated with the flow. The target engine RTT is determined based in part on the current congestion window used to transmit packets for the flow and/or the target fabric RTT is determined based on a number of hops packets associated with the flow traverse from a source to a destination associated with the flow.

    Congestion Control For Low Latency Datacenter Networks

    公开(公告)号:US20210184981A1

    公开(公告)日:2021-06-17

    申请号:US17185020

    申请日:2021-02-25

    Applicant: Google LLC

    Abstract: Systems and methods for controlling congestion of a data network are provided. An engine round-trip time (RTT) and a fabric RTT for a network flow are determined. An engine-based congestion window size for the flow is determined based on the engine RTT and a target engine RTT. A fabric-based congestion window size for the flow is determined based on the fabric RTT and a target fabric RTT. The smaller of the engine-based congestion window size and the fabric-based window size is selected for use in transmitting a future packet associated with the flow. The target engine RTT is determined based in part on the current congestion window used to transmit packets for the flow and/or the target fabric RTT is determined based on a number of hops packets associated with the flow traverse from a source to a destination associated with the flow.

    Congestion control for low latency datacenter networks

    公开(公告)号:US10999206B2

    公开(公告)日:2021-05-04

    申请号:US16455134

    申请日:2019-06-27

    Applicant: Google LLC

    Abstract: Systems and methods for controlling congestion of a data network are provided. An engine round-trip time (RTT) and a fabric RTT for a network flow are determined. An engine-based congestion window size for the flow is determined based on the engine RTT and a target engine RTT. A fabric-based congestion window size for the flow is determined based on the fabric RTT and a target fabric RTT. The smaller of the engine-based congestion window size and the fabric-based window size is selected for use in transmitting a future packet associated with the flow. The target engine RTT is determined based in part on the current congestion window used to transmit packets for the flow and/or the target fabric RTT is determined based on a number of hops packets associated with the flow traverse from a source to a destination associated with the flow.

    Congestion control for low latency datacenter networks

    公开(公告)号:US11496404B2

    公开(公告)日:2022-11-08

    申请号:US16455115

    申请日:2019-06-27

    Applicant: Google LLC

    Abstract: Systems and methods for controlling congestion in a data network are provided. A base target round-trip time (RTT) for packets of a network flow including packets transmitted from a source network device to destination network device is obtained. A number of hops packets associated with the network flow traverse between the source network device and the destination network device is determined. A topology scaled target RTT for the network flow is determined based on the base target RTT and the determined number of hops. A congestion window size for the network flow is managed based on the topology scaled target RTT.

Patent Agency Ranking