INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD

    公开(公告)号:US20230396564A1

    公开(公告)日:2023-12-07

    申请号:US18454477

    申请日:2023-08-23

    CPC classification number: H04L47/805 H04L47/823 H04L47/83

    Abstract: An information processing apparatus comprises a controller. The controller is configured to execute: acquiring a plurality of datasets, each of the datasets being configured with a combination of training data and a correct answer label; and implementing machine learning of an estimation model using the acquired plurality of datasets, wherein the training data includes workload information about an application constructed based on a microservice architecture and resource use information about resources used for each of components included in the application, in a learning target environment, the correct answer label is configured to show a true value of quality of service of the application, and the machine learning comprises training the estimation model such that, for each of the datasets, an estimated value of the quality of service calculated with the estimation model based on the training data corresponds to the true value shown by the correct answer label.

    INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD

    公开(公告)号:US20230171205A1

    公开(公告)日:2023-06-01

    申请号:US18056785

    申请日:2022-11-18

    CPC classification number: H04L47/805 H04L47/83 H04L47/823

    Abstract: An information processing apparatus comprises a controller. The controller is configured to execute: acquiring a plurality of datasets, each of the datasets being configured with a combination of training data and a correct answer label; and implementing machine learning of an estimation model using the acquired plurality of datasets, wherein the training data includes workload information about an application constructed based on a microservice architecture and resource use information about resources used for each of components included in the application, in a learning target environment, the correct answer label is configured to show a true value of quality of service of the application, and the machine learning comprises training the estimation model such that, for each of the datasets, an estimated value of the quality of service calculated with the estimation model based on the training data corresponds to the true value shown by the correct answer label.

    SECURITY SYSTEM AND METHOD THEREOF USING BOTH KMS AND HSM

    公开(公告)号:US20210143984A1

    公开(公告)日:2021-05-13

    申请号:US16985266

    申请日:2020-08-05

    Abstract: The present disclosure in some embodiments provides a security system using both key management service (KMS) and a hardware security module (HSM), and a method of operating the security system. At least one embodiment provides a security system including an HSM, a bootstrapping enclave, and one or more KMS enclaves. The HSM is configured to generate, replace or remove a root key, the HSM being physically independent. The bootstrapping enclave is configured to receive the root key from the HSM. The one or more KMSs are configured to perform an attestation procedure with the bootstrapping enclave, to receive the root key from the bootstrapping enclave, and to utilize the root key for establishing a secure channel with the HSM

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