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    Model-based service placement
    1.
    发明授权
    Model-based service placement 有权

    公开(公告)号：US12132615B2

    公开(公告)日：2024-10-29

    申请号：US18328901

    申请日：2023-06-05

    Applicant: Juniper Networks, Inc.

    Inventor： Gregory A. Sidebottom ,  Kireeti Kompella ,  Sherine El-Medani ,  Wing Eng

    IPC: H04L41/0896 ,  H04L41/14 ,  H04L41/5006 ,  H04L41/5054 ,  H04L41/5061

    CPC classification number: H04L41/0896 ,  H04L41/145 ,  H04L41/5006 ,  H04L41/5054 ,  H04L41/5064

    Abstract: An example computing device is configured to receive an instance of a customer service model representative of a plurality of customer services. Each of the plurality of customer services associated with a corresponding at least one requirement and a corresponding at least one constraint. The computing device is configured to receive an instance of a resource model representative of a plurality of resources and map the instance of the customer service model and the instance of the resource model to an internal placement model. The computing device is configured to allocate the plurality of resources to the plurality of customer services such that the at least one requirement and the at least one constraint for each of the plurality of customer services are satisfied and inverse map data indicating how the plurality of resources are allocated to a format consumable by the customer device and output the inverse mapped data.

    TECHNIQUE FOR DEFINING FEATURES AND PREDICTING LIKELIHOOD OF ADOPTION OF THE SAME USING MACHINE LEARNING MODELS
    3.
    发明公开
    TECHNIQUE FOR DEFINING FEATURES AND PREDICTING LIKELIHOOD OF ADOPTION OF THE SAME USING MACHINE LEARNING MODELS 审中-公开

    公开(公告)号：US20240340223A1

    公开(公告)日：2024-10-10

    申请号：US18295643

    申请日：2023-04-04

    Applicant: Cisco Technology, Inc.

    Inventor： Mohammad Shami ,  Vikramjeet Singh Chauhan ,  Caroline Dahllof

    IPC: H04L41/14 ,  H04L41/22

    CPC classification number: H04L41/145 ,  H04L41/22

    Abstract: In one aspect, a method of identifying network features includes receiving a first-time definition of a feature, the feature representing a user query for analytics associated with the feature based on data collected on a plurality of devices in one or more networks, generating the analytics associated with the feature, determining, using a trained machine learning model, a likelihood of adoption of at least the feature by one or more users of the plurality of devices, wherein the trained machine learning model receives as input the first-time definition and provides, as output, the likelihood of adoption of at least the feature, and configuring a user interface on a terminal to provide a visualization of at least one of the likelihood of adoption of at least the feature and the analytics associated with the feature.

    Training method for application MOS model, device, and system
    4.
    发明授权
    Training method for application MOS model, device, and system 有权

    公开(公告)号：US12113679B2

    公开(公告)日：2024-10-08

    申请号：US17581935

    申请日：2022-01-23

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Shaofeng Kuai

    IPC: H04L41/14 ,  H04L41/147 ,  H04L41/5009 ,  H04W24/08

    CPC classification number: H04L41/145 ,  H04L41/147 ,  H04L41/5009 ,  H04W24/08

    Abstract: Embodiments of this application provide a training method for an application MOS model, and related device and system. A central network data analytics function (C-NWDAF) entity sends a first subscription request to an edge network data analytics function (E-NWDAF) entity, where the first subscription request is used to subscribe to a quality of service MOS level of a target service and a corresponding first network performance indicator. The first network performance indicator is a network performance indicator of a transmission network that carries the target service. The C-NWDAF entity receives the quality of service MOS level and the first network performance indicator from the E-NWDAF entity, and establishes a MOS model of the target service based on the received quality of service MOS level and the first network performance indicator.

    Dynamic graphing for managing an IT operation system
    7.
    发明授权
    Dynamic graphing for managing an IT operation system 有权

    公开(公告)号：US12101232B2

    公开(公告)日：2024-09-24

    申请号：US17247347

    申请日：2020-12-08

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

    Inventor： Jia Qi Li ,  Fan Jing Meng ,  Zhi Shuai Han

    IPC: H04L12/24 ,  G06F16/901 ,  H04L41/14 ,  H04L41/22

    CPC classification number: H04L41/22 ,  G06F16/9024 ,  H04L41/145

    Abstract: A method, computer system, and a computer program product are provided for dynamic viewing of an operation graph depicting a distributed workload in an Information Technology system. A list may be received as input and may include selected nodes. A sub-graph may be abstracted from a global graph. The sub-graph and the global graph may depict interactions among ops objects of the distributed workload using nodes and edges. First nodes may be removed from the global graph according to the list. Direct edges between remaining nodes from the global graph may be maintained. A first indirect edge may be generated based on the removed first nodes. The first indirect edge may run between a first remaining node and a second remaining node. The sub-graph may be presented removed from the global graph.

    Predict new system status based on status changes
    8.
    发明授权
    Predict new system status based on status changes 有权

    公开(公告)号：US12095627B2

    公开(公告)日：2024-09-17

    申请号：US17453712

    申请日：2021-11-05

    Applicant: International Business Machines Corporation

    Inventor： Juergen Holtz ,  Andreas Stay ,  Alexander Terekhov ,  Elena Lopez De Dicastillo

    IPC: H04L41/14 ,  G05B13/04 ,  G06F11/34 ,  H04L41/149

    CPC classification number: H04L41/145 ,  G05B13/048 ,  G06F11/34 ,  H04L41/149

    Abstract: A computer-implemented method for predicting an effect of an intervention on managed computing resources using a first system automation management system, comprising an automated operations controller and at least one automation agent is disclosed. The method comprises sending initial state data of the first system automation management system to a second system automation management system which is a functional duplicate of the first system automation management system, sending a status change command and a related expected response vector, equivalent to a result of the intervention to the second system automation management system, determining, by the second system automation management system, a predicted response vector of the managed computing resources in response to the received status change command, and responding, by the second system automation management system, with the determined response vector and a set of predicted actions derived therefrom.

    Scalable Mixed-Effect Modeling and Control
    9.
    发明公开
    Scalable Mixed-Effect Modeling and Control 审中-公开

    公开(公告)号：US20240305534A1

    公开(公告)日：2024-09-12

    申请号：US18009487

    申请日：2022-09-09

    Applicant: Google LLC

    Inventor： Ali Nasiri Amini ,  Zheng Zhao ,  Di-Fa Chang

    IPC: H04L41/14

    CPC classification number: H04L41/145

    Abstract: In an example aspect, the present disclosure provides for an example method including obtaining session data descriptive of one or more user sessions in the networked environment; initializing a mixed effects model configured to describe a first effect and a second effect on a distribution of the session data; optimizing a weighted objective over a plurality of subsets of the session data, the weighted objective comprising a weighting parameter configured to adjust, respectively for the plurality of subsets of the session data, a contribution of the second effect with respect to the first effect; and updating the mixed effects model based on the optimized weighted objective.

    Network entity for determining a model for digitally analyzing input data
    10.
    发明授权
    Network entity for determining a model for digitally analyzing input data 有权

    公开(公告)号：US12081410B2

    公开(公告)日：2024-09-03

    申请号：US17856740

    申请日：2022-07-01

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Qing Wei ,  Clarissa Marquezan ,  Yang Xin ,  Xiaobo Wu

    IPC: G06F15/173 ,  H04L41/12 ,  H04L41/14 ,  H04L41/16

    CPC classification number: H04L41/145 ,  H04L41/12 ,  H04L41/16

    Abstract: A network entity determines at least one model parameter of a model for digitally analyzing input data depending on the at least one model parameter of a model, the network entity being configured to receive a model request from a requesting entity over the communication network, the model request requesting the at least one model parameter of the model, to obtain the requested at least one model parameter by at least one of the following: executing a machine-learning model training algorithm, the machine-learning model training algorithm being configured to train the model with input data in order to determine at least one of the requested model parameter; searching a local data base for an existing model; or requesting the at least one model parameter from a further network entity; and to send the requested model parameter towards the requesting entity over the communication network.

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