Abstract:
장애 조치 이벤트 전 및/또는 후의 특정 기간 내에 서비스의 1차 위치로 제출되는 작업이 판단되며 서비스의 2차 위치로 재제출된다. 예를 들어, 장애 조치 이벤트 15분 전에 제출되는 작업 및 2차 위치에 대한 장애 조치가 완료되기 전에 1차 네트워크에 제출되는 작업은 2차 위치로 재제출된다. 장애 조치 이벤트가 발생한 후에, 작업은 서비스의 1차 위치를 대신하는 2차 네트워크에 의해 갱신된다. 1차 위치로부터 2차 위치로의 작업 입력 파라미터(예를 들어, 식별자 및/또는 비밀 정보)의 매핑은 그것이 2차 위치에 재제출될 때 작업에 의해 사용된다. 각각의 작업은 작업이 재제출되는 것에 기초해서 어떤 변경이 작업 요청에 대해 이루어질지를 판단한다.
Abstract:
본 발명의 일부 실시형태는 (예를 들어, 불필요하게 시스템 리소스를 소비하는 사용되지 않는 애플리케이션, 애플리케이션의 잔존물을 남기는 애플리케이션의 삭제 시도 및/또는 기타 원인에 의해 유발될 수 있는 것과 같은 시스템 성능 및/또는 신뢰성 열화를 다루기 위해) 사용자가 시스템 리셋을 수행할 수 있는 기술을 제공한다. 일부 실시형태에서, 시스템 리셋을 수행하는 것은 시스템 상의 운영 체제의 제1 인스턴스를 운영 체제의 새로운 인스턴스로 대체하고, 사용자의 데이터를 방해함이 없이 시스템 상에 설치된 여하한 애플리케이션을 삭제한다.
Abstract:
Disclosed herein is a computer architecture and software that is configured to modify data intake operation at an asset-monitoring system based on a predictive model. In accordance with the present disclosure, the asset-monitoring system may execute a predictive model that outputs an indicator of whether at least one event from a group of events (e.g., a failure event) is likely to occur at a given asset within a given period of time in the future. Based on the output of this predictive model, the asset-monitoring system may modify one or more operating parameters for ingesting data from the given asset, such as a storage location for the ingested data, a set of data variables from the asset that are ingested, and/or a rate at which data from the asset is ingested.
Abstract:
Disclosed herein are systems, devices, and methods related to assets and predictive models and corresponding workflows that are related to updating a routing table. In particular, examples involve based on a predictive model, determining that a given asset of a plurality of assets in a mesh network is likely to be unavailable within a given period of time in the future and in response to the determining, causing a routing configuration for at least one other asset in the mesh network to be updated.
Abstract:
An electronic device including a memory storing an application program that provides a guide about a user action, collects information on a performance of the user action, or collects information on a user state. A processor connected to the memory is configured to execute the application program, to detect a cause by which the application program is stopped, and to automatically reexecute the application program or to provide a user interface for receiving a user input for the reexecution of the application program on the basis of at least a portion of the detected cause.
Abstract:
Disclosed herein are systems, devices, and methods related to assets and asset operating conditions. In particular, examples involve defining and executing predictive models for outputting health metrics that estimate the operating health of an asset or a part thereof, analyzing health metrics to determine variables that are associated with high health metrics, and modifying the handling of abnormal-condition indicators in accordance with a prediction of a likely response to such abnormal-condition indicators, among other examples.
Abstract:
Disclosed herein are systems, devices, and methods related to assets and asset operating conditions. In particular, examples involve defining and executing predictive models for outputting health metrics that estimate the operating health of an asset or a part thereof, analyzing health metrics to determine variables that are associated with high health metrics, and modifying the handling of abnormal-condition indicators in accordance with a prediction of a likely response to such abnormal-condition indicators, among other examples.