Dynamic telecom network agent filtering

    公开(公告)号:US11728955B2

    公开(公告)日:2023-08-15

    申请号:US17453051

    申请日:2021-11-01

    IPC分类号: H04L5/00 H04W64/00 H04W72/541

    摘要: A system, method, and computer program product for implementing dynamic telecom network agent filtering is provided. The method includes retrieving peripheral data associated with user equipment (UE) enabled with respect to a telecom network associated with a telecom network hardware device. The peripheral data is mapped with a pre-defined filter selection model and a filtering agent model is selected. Likewise, filtering agents associated with the UE are selected and environmental characteristics associated with the telecom network are retrieved. A location of the UE is tagged and the filtering agents are pushed to the UE. Network commands associated with execution of the filtering agents are generated and the filtering agents are executed with respect to the UE. In response, noise and distortion occurring during operation of the UE with respect to the telecom network is reduced.

    Quantum key distribution in a multi-cloud environment

    公开(公告)号:US11695552B2

    公开(公告)日:2023-07-04

    申请号:US17212031

    申请日:2021-03-25

    摘要: In an approach to improve the field of multi-cloud environments by detecting data corruption between storage systems. Embodiments perform information tunneling on data transferring between a source storage system and a target storage system. Further, embodiments determine a checksum data of a data payload does not match an Internet Protocol (IP) packet extracted checksum and a blockchain based checksum and compare the checksum data at the target storage system with the IP packet extracted checksum and the blockchain based checksum to identify one or more checksum mismatches. Additionally, embodiments identify a corruption in a data payload based on the comparison between the checksum data at the target storage system and the IP packet extracted checksum and the blockchain based checksum, validate the corruption in the data payload, and update respective entities of identified corruption in the data payload.

    GENERATING MULTI-DIMENSIONAL HOST-SPECIFIC STORAGE TIERING

    公开(公告)号:US20230176755A1

    公开(公告)日:2023-06-08

    申请号:US17545402

    申请日:2021-12-08

    IPC分类号: G06F3/06

    摘要: Methods, systems, and computer program products for generating multi-dimensional host specific storage tiering are provided herein. A computer-implemented method includes maintaining information of a plurality of storage resources connected to at least one host device; configuring, based at least in part on the information, a plurality of partitions of the storage resources, each partition comprising multiple storage tiers, wherein the plurality of partitions is configured to provide physical migration paths between the multiple storage tiers within each of the partitions; detecting a change to the plurality of storage resources; and reconfiguring the plurality of partitions based at least in part on the detected change.

    VALIDATION PROCESSING FOR CANDIDATE RETRAINING DATA

    公开(公告)号:US20230169147A1

    公开(公告)日:2023-06-01

    申请号:US17536230

    申请日:2021-11-29

    IPC分类号: G06K9/62 G06F40/30

    摘要: An embodiment generates a candidate retraining dataset in response to a retraining request. The embodiment generates first metadata comprising attribute information for data points in the candidate retraining dataset and second metadata comprising a range of attributes from training data previously used to train the model. The embodiment determines whether the candidate retraining dataset includes new information for the machine learning model based on a comparison of the first metadata to the second metadata. In a first case in which the candidate retraining dataset is determined to include new information, the embodiment initiates retraining of the machine learning model using the candidate retraining dataset. In a second case in which the candidate retraining dataset is determined to not include new information, the embodiment generates a response to the retraining request indicating that retraining the machine learning model using the candidate retraining dataset is not recommended.

    NETWORK USER DATA DELIVERY
    9.
    发明申请

    公开(公告)号:US20230074003A1

    公开(公告)日:2023-03-09

    申请号:US17462931

    申请日:2021-08-31

    IPC分类号: G16H10/60 G06F21/62 G16H50/30

    摘要: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining medical health user data from respective ones of a plurality of UE devices by a virtual network function (VNF) layer which VNF layer has assigned logical channels to respective ones of the UE devices for wireless transmission of the user data, wherein the VNF layer maintains user to logical channel association data associating user identifying data to logical channels assigned to users identified by the user identifying data; examining, by a service orchestration layer that runs on top of the VNF layer, medical health data of the user medical health data, wherein the service orchestration layer is configured so that the service orchestration layer is restricted from accessing the user identifying data of the user to logical channel association data; and performing processing in dependence on the examining.