中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

20 records (took 0.102 seconds)

    Network route stability characterization
    11.
    发明授权
    Network route stability characterization 有权

    公开(公告)号：US11184254B2

    公开(公告)日：2021-11-23

    申请号：US16358084

    申请日：2019-03-19

    Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

    Inventor： Rangaprasad Sampath ,  Madhusoodhana Chari Sesha ,  Parikshit Misra

    IPC: H04L12/26 ,  G06N5/00 ,  G06N20/00

    Abstract: A device may determine sample points associated with network routes within a network during a time interval, wherein each sample point that is associated with a respective network route comprises an amount of uptime for the respective network route during the time interval and a total frequency of state changes for the respective network route during the time interval. The device may generate, using an unsupervised machine learning mechanism, clusters of the sample points and may label the network routes with route stability labels based at least in part on the clusters. The device may generate, using a supervised machine learning mechanism, a route stability classifier based at least in part on the route stability labels for the network routes, and may determine, using the route stability classifier, a route stability of a new network route within the network.

    METHOD AND SYSTEM FOR DATABASE ENHANCEMENT IN A SWITCH
    12.
    发明申请
    METHOD AND SYSTEM FOR DATABASE ENHANCEMENT IN A SWITCH 有权

    公开(公告)号：US20210064600A1

    公开(公告)日：2021-03-04

    申请号：US16551354

    申请日：2019-08-26

    Applicant: Hewlett Packard Enterprise Development LP

    Inventor： Krishna Mohan Elluru ,  Madhusoodhana Chari Sesha ,  Esteban Rodriguez Betancourt ,  Rangaprasad Sampath

    IPC: G06F16/23 ,  G06F16/22 ,  G06F16/21 ,  H04L12/46

    Abstract: One embodiment of the present invention provides a switch. The switch includes a storage device, a processing module, and a database module. The storage device can maintain a database storing configuration information for the switch. During operation, the processing module produces a piece of data associated with operations of the switch based on the configuration information. The database module then stores the piece of data in a database table of the database without caching the piece of data in a memory of the switch after the piece of data is stored in the database. In this way, the database module can reduce the memory occupancy of the processing module in comparison with the storage occupancy of a schema corresponding to the database table. Subsequently, the processing module can program a hardware module of the switch with the piece of data prior to receiving an acknowledgment from the database module.

    Network route stability characterization
    14.
    发明授权
    Network route stability characterization 有权

    公开(公告)号：US12095635B2

    公开(公告)日：2024-09-17

    申请号：US18352928

    申请日：2023-07-14

    Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

    Inventor： Rangaprasad Sampath ,  Madhusoodhana Chari Sesha ,  Parikshit Misra

    IPC: H04L43/02 ,  G06N5/01 ,  G06N20/00 ,  H04L43/04

    CPC classification number: H04L43/02 ,  G06N5/01 ,  G06N20/00 ,  H04L43/04

    Abstract: A device may determine sample points associated with network routes within a network during a time interval, wherein each sample point that is associated with a respective network route comprises an amount of uptime for the respective network route during the time interval and a total frequency of state changes for the respective network route during the time interval. The device may generate, using an unsupervised machine learning mechanism, clusters of the sample points and may label the network routes with route stability labels based at least in part on the clusters. The device may generate, using a supervised machine learning mechanism, a route stability classifier based at least in part on the route stability labels for the network routes, and may determine, using the route stability classifier, a route stability of a new network route within the network.

    NETWORK ROUTE STABILITY CHARACTERIZATION
    15.
    发明公开
    NETWORK ROUTE STABILITY CHARACTERIZATION 审中-公开

    公开(公告)号：US20230362072A1

    公开(公告)日：2023-11-09

    申请号：US18352928

    申请日：2023-07-14

    Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

    Inventor： Rangaprasad Sampath ,  Madhusoodhana Chari Sesha ,  Parikshit Misra

    IPC: H04L43/02 ,  H04L43/04 ,  G06N20/00 ,  G06N5/01

    CPC classification number: H04L43/02 ,  H04L43/04 ,  G06N20/00 ,  G06N5/01

    Abstract: A device may determine sample points associated with network routes within a network during a time interval, wherein each sample point that is associated with a respective network route comprises an amount of uptime for the respective network route during the time interval and a total frequency of state changes for the respective network route during the time interval. The device may generate, using an unsupervised machine learning mechanism, clusters of the sample points and may label the network routes with route stability labels based at least in part on the clusters. The device may generate, using a supervised machine learning mechanism, a route stability classifier based at least in part on the route stability labels for the network routes, and may determine, using the route stability classifier, a route stability of a new network route within the network.

    DATABASE OPERATION CLASSIFICATION
    16.
    发明申请
    DATABASE OPERATION CLASSIFICATION 有权

    公开(公告)号：US20220092114A1

    公开(公告)日：2022-03-24

    申请号：US17544078

    申请日：2021-12-07

    Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

    Inventor： Rangaprasad Sampath ,  Madhusoodhana Chari Sesha ,  Shree Phani Sundara B N

    IPC: G06F16/906 ,  G06N20/00

    Abstract: An example method can include tracking, by a network device, a plurality of database operations performed and a plurality of expected database operations for an event that executes for a time period, generating, by the network device, a plurality of clusters based on a ratio of the database operations performed compared to the plurality of expected database operations and the time period for the event, classifying, by the network device, the clusters based on performance, and evaluating, by the network device, a system performance metric based on a classification of real time data into the clusters.

    DATABASE OPERATION CLASSIFICATION
    17.
    发明申请
    DATABASE OPERATION CLASSIFICATION 审中-公开

    公开(公告)号：US20200250229A1

    公开(公告)日：2020-08-06

    申请号：US16264923

    申请日：2019-02-01

    Applicant: Hewlett Packard Enterprise Development LP

    Inventor： Rangaprasad Sampath ,  Madhusoodhana Chari Sesha ,  Shree Phani Sundara B N

    IPC: G06F16/906 ,  G06N20/00

    Abstract: An example method can include tracking, by a network device, a plurality of database operations performed and a plurality of expected database operations for an event that executes for a time period, generating, by the network device, a plurality of clusters based on a ratio of the database operations performed compared to the plurality of expected database operations and the time period for the event, classifying, by the network device, the clusters based on performance, and evaluating, by the network device, a system performance metric based on a classification of real time data into the clusters.

    DEVICE IDENTIFIER CLASSIFICATION
    18.
    发明申请
    DEVICE IDENTIFIER CLASSIFICATION 审中-公开

    公开(公告)号：US20200027031A1

    公开(公告)日：2020-01-23

    申请号：US16039676

    申请日：2018-07-19

    Applicant: Hewlett Packard Enterprise Development LP

    Inventor： Rangaprasad Sampath ,  Madhusoodhana Chari Sesha ,  Sriharsha Tallapakam

    IPC: G06N99/00 ,  H04L29/08

    Abstract: An example method can include tracking, by a network device, a plurality of attributes associated with a plurality of unique client device identifiers stored in a tracking table; deriving, by the network device, a training data set based on the plurality of attributes; and generating, by the network device, a plurality of clusters by inputting the derived training data set to an unsupervised machine learning mechanism. The example method can include receiving, by the network device, a labeling of the plurality of unique client device identifiers in the tracking table based at least on the plurality of clusters; generating, by the network device, a plurality of classifiers by inputting the labelled tracking table to a supervised machine learning mechanism; and classifying, by the network device, a new unique client device identifier in the tracking table based at least on the plurality of classifiers.

Patent Agency Ranking