Layer four optimization for a virtual network defined over public cloud

    公开(公告)号:US11115480B2

    公开(公告)日:2021-09-07

    申请号:US16405986

    申请日:2019-05-07

    Applicant: VMware, Inc.

    Abstract: Some embodiments establish for an entity a virtual network over several public clouds of several public cloud providers and/or in several regions. In some embodiments, the virtual network is an overlay network that spans across several public clouds to interconnect one or more private networks (e.g., networks within branches, divisions, departments of the entity or their associated datacenters), mobile users, and SaaS (Software as a Service) provider machines, and other web applications of the entity. The virtual network in some embodiments can be configured to optimize the routing of the entity's data messages to their destinations for best end-to-end performance, reliability and security, while trying to minimize the routing of this traffic through the Internet. Also, the virtual network in some embodiments can be configured to optimize the layer 4 processing of the data message flows passing through the network.

    Layer four optimization for a virtual network defined over public cloud

    公开(公告)号:US11089111B2

    公开(公告)日:2021-08-10

    申请号:US16252696

    申请日:2019-01-20

    Applicant: VMware, Inc.

    Abstract: Some embodiments establish for an entity a virtual network over several public clouds of several public cloud providers and/or in several regions. In some embodiments, the virtual network is an overlay network that spans across several public clouds to interconnect one or more private networks (e.g., networks within branches, divisions, departments of the entity or their associated datacenters), mobile users, and SaaS (Software as a Service) provider machines, and other web applications of the entity. The virtual network in some embodiments can be configured to optimize the routing of the entity's data messages to their destinations for best end-to-end performance, reliability and security, while trying to minimize the routing of this traffic through the Internet. Also, the virtual network in some embodiments can be configured to optimize the layer 4 processing of the data message flows passing through the network.

    CONFIGURING EDGE NODES OUTSIDE OF PUBLIC CLOUDS TO USE ROUTES DEFINED THROUGH THE PUBLIC CLOUDS

    公开(公告)号:US20210067427A1

    公开(公告)日:2021-03-04

    申请号:US16662363

    申请日:2019-10-24

    Applicant: VMware, Inc.

    Abstract: Some embodiments provide a novel method for deploying different virtual networks over several public cloud datacenters for different entities. For each entity, the method (1) identifies a set of public cloud datacenters of one or more public cloud providers to connect a set of machines of the entity, (2) deploys managed forwarding nodes (MFNs) for the entity in the identified set of public cloud datacenters, and then (3) configures the MFNs to implement a virtual network that connects the entity's set of machines across its identified set of public cloud datacenters. In some embodiments, the method identifies the set of public cloud datacenters for an entity by receiving input from the entity's network administrator. In some embodiments, this input specifies the public cloud providers to use and/or the public cloud regions in which the virtual network should be defined. Conjunctively, or alternatively, this input in some embodiments specifies actual public cloud datacenters to use.

    PROVIDING RECOMMENDATIONS FOR IMPLEMENTING VIRTUAL NETWORKS

    公开(公告)号:US20210067407A1

    公开(公告)日:2021-03-04

    申请号:US16662489

    申请日:2019-10-24

    Applicant: VMware, Inc.

    Abstract: Some embodiments provide a novel method for deploying different virtual networks over several public cloud datacenters for different entities. For each entity, the method (1) identifies a set of public cloud datacenters of one or more public cloud providers to connect a set of machines of the entity, (2) deploys managed forwarding nodes (MFNs) for the entity in the identified set of public cloud datacenters, and then (3) configures the MFNs to implement a virtual network that connects the entity's set of machines across its identified set of public cloud datacenters. In some embodiments, the method identifies the set of public cloud datacenters for an entity by receiving input from the entity's network administrator. In some embodiments, this input specifies the public cloud providers to use and/or the public cloud regions in which the virtual network should be defined. Conjunctively, or alternatively, this input in some embodiments specifies actual public cloud datacenters to use.

    ALLEVIATING CONGESTION IN A VIRTUAL NETWORK DEPLOYED OVER PUBLIC CLOUDS FOR AN ENTITY

    公开(公告)号:US20210067374A1

    公开(公告)日:2021-03-04

    申请号:US16662531

    申请日:2019-10-24

    Applicant: VMware, Inc.

    Abstract: Some embodiments provide a novel method for deploying different virtual networks over several public cloud datacenters for different entities. For each entity, the method (1) identifies a set of public cloud datacenters of one or more public cloud providers to connect a set of machines of the entity, (2) deploys managed forwarding nodes (MFNs) for the entity in the identified set of public cloud datacenters, and then (3) configures the MFNs to implement a virtual network that connects the entity's set of machines across its identified set of public cloud datacenters. In some embodiments, the method identifies the set of public cloud datacenters for an entity by receiving input from the entity's network administrator. In some embodiments, this input specifies the public cloud providers to use and/or the public cloud regions in which the virtual network should be defined. Conjunctively, or alternatively, this input in some embodiments specifies actual public cloud datacenters to use.

    ACCELERATING DISTRIBUTED MACHINE LEARNING WITH SMART NICS

    公开(公告)号:US20230342599A1

    公开(公告)日:2023-10-26

    申请号:US17727172

    申请日:2022-04-22

    Applicant: VMware, Inc.

    CPC classification number: G06N3/08 G06N3/0454

    Abstract: Some embodiments provide a method for performing distributed machine learning (ML) across multiple computers. At a smart network interface controller (NIC) of a first computer, the method receives a set of ML parameters from the first computer related to training an ML model. The method compresses the set of ML parameters based on a current state of a connection to a central computer that receives sets of ML parameters from a plurality of the computers. The method sends the compressed set of ML parameters to the central computer for the central computer to process the compressed set of ML parameters along with corresponding sets of ML parameters received from the other computers of the plurality of computers.

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