CONSUMPTION PREDICTION SYSTEM AND CONSUMPTION PREDICTION METHOD

    公开(公告)号:US20210303996A1

    公开(公告)日:2021-09-30

    申请号:US17000681

    申请日:2020-08-24

    Abstract: A consumption prediction method includes the following steps: calculating a personal preference correlation coefficient; inputting historical environment data, a historical consumption record and the personal preference correlation coefficient into a first neural network model; a training model is generated by the first neural network model; and determining whether the accuracy rate of the training model is higher than the training threshold. When the accuracy rate of the training model is higher than the training threshold, the training model is regarded as a prediction model.

    SYSTEMS AND METHODS FOR CLOUD SERVICE PROVISIONING USING SOFTWARE CONTAINERS

    公开(公告)号:US20200044945A1

    公开(公告)日:2020-02-06

    申请号:US16211363

    申请日:2018-12-06

    Abstract: A cloud service system includes a hardware resource, a storage device, and a controller. The hardware resource is installed with a system, and a software container is instantiated for cloud service execution on the hardware resource. The storage device stores a plurality of libraries, each of which is associated with a respective version of the system. The controller determines a first version of the system according to a deployment request, determines whether one of the libraries is associated with the first version, and selects one of the libraries for instantiating the software container according to a selection history of the libraries in response to none of the libraries being associated with the first version.

    DATA FORWARDING SYSTEM
    3.
    发明申请

    公开(公告)号:US20190297059A1

    公开(公告)日:2019-09-26

    申请号:US16200867

    申请日:2018-11-27

    Abstract: The data forwarding system includes a data storage device and a server. The data storage device is configured to store shared data uploaded by a first developer via a first terminal device. The server includes a processor which can load program codes to execute: a forwarding procedure for forwarding the shared data to a receiving device; a forwarding setting procedure for enabling the developer to apply forwarding settings to the shared data; a data processing procedure for executing the necessary data processing before forwarding the shared data; and a forwarding condition verification procedure for examining whether the shared data conforms to the forwarding settings.

    PROCESS OPERATION SYSTEM AND PROCESS OPERATION METHOD

    公开(公告)号:US20230009722A1

    公开(公告)日:2023-01-12

    申请号:US17464975

    申请日:2021-09-02

    Abstract: A process operating system includes a process control platform, a process operating platform and an endpoint task robot. The process control platform is configured to receive operation information, extract a task from the operation information using a semantic analysis method, and publish the task. The process operating platform is configured to receive the task and store the task in a task queue. After receiving the task, the process operating platform defines a processing flow based on the task, and sorts the order of the task in the task queue. The endpoint task robot is configured to automatically obtain the task from the process operation platform, executes the task according to the processing flow. It then writes the execution result into the log queue and transmits the execution result to the process control platform.

    DATA PROCESSING SYSTEM AND DATA PROCESSING METHOD

    公开(公告)号:US20210304068A1

    公开(公告)日:2021-09-30

    申请号:US16984354

    申请日:2020-08-04

    Abstract: A data processing method includes the following steps: generating a machine-learning parameter and obtaining a storage parameter code, wherein the storage parameter code corresponds to a storage space; receiving the machine-learning parameter and the storage parameter code, and storing the machine-learning parameter in the storage space according to the storage parameter code, and generating an event notification when the machine-learning parameter is modified; and generating a loading request according to the event notification, and the loading request is used to request the modified machine-learning parameter, wherein after the loading request is generated, the modified machine-learning parameter is downloaded from the storage space corresponding to the storage parameter code.

    CLOUD SERVERS AND METHODS FOR HANDLING DYSFUNCTIONAL CLOUD SERVICES

    公开(公告)号:US20180196724A1

    公开(公告)日:2018-07-12

    申请号:US15607963

    申请日:2017-05-30

    CPC classification number: G06F9/5027 G06F9/445

    Abstract: A cloud server including a communication device, a plurality of hardware resources, and a controller is provided. The communication device provides a network connection to the Internet and an electronic computing device on the Internet. A respective virtual machine is instantiated for service execution on each of the hardware resources. The controller receives a hosting request for a service from the electronic computing device via the communication device, allocates one of the hardware resources to execute the service according to the hosting request and determine a link for accessing the service from outside of the cloud server in response to the hosting request, tests whether the service is functional by accessing the service from the Internet according to the link via the communication device, and transfers the service to be executed by another one of the hardware resources when the service is dysfunctional.

    SYSTEMS FOR MONITORING APPLICATION SERVERS
    10.
    发明申请

    公开(公告)号:US20180278497A1

    公开(公告)日:2018-09-27

    申请号:US15626356

    申请日:2017-06-19

    Abstract: A monitoring system is provided to perform a monitoring operation including: initiating a first process to serve as a first task agent for determining whether there is a monitoring item among the application servers, and if so, generating a monitoring task; initiating a second process to serve as a second task agent for obtaining monitoring data by monitoring the monitoring item according to the monitoring task; initiating a third process to serve as a third task agent for determining whether the monitoring data meets an abnormality definition associated with the monitoring task, and if so, generating an alert message; and initiating a fourth process to serve as a fourth task agent for determining, according to an alert rule, whether or not to send the alert message to a manager of the application server with which the monitoring item is associated.

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