A customer of a policy management service may use an interface with a configuration and management service to interact with policies that may be applicable to the customer's one or more resources. The customer may create and/or modify the policies and the configuration and management service may notify one or more other entities of the created and/or modified policies. The one or more other entities may be operated by user authorized to approve the created and/or modified policies. Interactions with the configuration and management service may be the same as the interactions with the policy management service.

In an information processing device according to the present invention, an acquisition unit is configured to acquire a plurality of values related to a state quantity of a target device. An extraction unit is configured to extract a state value group constituted by a plurality of values related to an identical state quantity from the acquired plurality of values. A specification unit is configured to specify a value to be used to manage the target device from the state value group based on reliabilities of the values included in the state value group.

A method for facilitating data synchronization across a plurality of platforms is provided. The method includes retrieving a change event, the change event corresponding to an event stream from a first platform; parsing the change event to identify a record and a data operation; examining a synchronization database to determine whether a corresponding record is persisted in a database of a second platform; inserting the record into the synchronization database when the corresponding record is not persisted in the platform, the inserted record including a change indicator; and updating, by using the synchronization database, the database of the second platform to include the record.

In order to improve the adaptability of diagnosis of an operating state of a field device, a field device 10 according to the present disclosure has a diagnoser 17 configured to diagnose an operating state of the field device 10 by hierarchically implementing a plurality of diagnostic processes. The diagnoser 17 can select whether to enable or disable a diagnostic result of at least one diagnostic process of a plurality of diagnostic processes in a diagnostic process after the one diagnostic process.

A computing system may create an anomaly detection model to detect anomalies in multivariate data originating from a given data source by extracting a model object for the anomaly detection model using a first set of training data originating from the given data source, establishing starting values of a set of anomaly thresholds for the anomaly detection model using the extracted model object and a second set of training data originating from the given data source, and refining the starting values of the set of anomaly thresholds for at least a subset of the variables included in the multivariate data using the extracted model object and a set of test data. In turn, the computing system may use the anomaly detection model to monitor for anomalies in observation data originating from the given data source.

Embodiments for providing compare and swap (CAS) functionality to key value storage to allow multi-threaded applications to share storage devices and synchronize multiple concurrent threads or processes. A key-value application programming interface (API) is modified to include a CAS API in addition to the standard Put and Get APIs. The CAS function uses a key, expected old value, and new value to compare and swap an existing key value only if its current value equals the expected old value. Hash values of the key value and expected old value may be used by the CAS function to improve performance and reduce bandwidth.

A method comprises causing a character string to be displayed on a display, receiving a signal indicative of user input for selecting the displayed character string, and responding to the signal by using a language engine to predict a location within the selected character string for modification of the selected character string.

Embodiments for providing compare and swap (CAS) functionality to key value storage to allow multi-threaded applications to share storage devices and synchronize multiple concurrent threads or processes. A key-value application programming interface (API) is modified to include a CAS API in addition to the standard Put and Get APIs. The CAS function uses a key, expected old value, and new value to compare and swap an existing key value only if its current value equals the expected old value. Hash values of the key value and expected old value may be used by the CAS function to improve performance and reduce bandwidth.

A customer of a policy management service may use an interface with a configuration and management service to interact with policies that may be applicable to the customer's one or more resources. The customer may create and/or modify the policies and the configuration and management service may notify one or more other entities of the created and/or modified policies. The one or more other entities may be operated by user authorized to approve the created and/or modified policies. Interactions with the configuration and management service may be the same as the interactions with the policy management service.

A computing system may create an anomaly detection model to detect anomalies in multivariate data originating from a given data source by extracting a model object for the anomaly detection model using a first set of training data originating from the given data source, establishing starting values of a set of anomaly thresholds for the anomaly detection model using the extracted model object and a second set of training data originating from the given data source, and refining the starting values of the set of anomaly thresholds for at least a subset of the variables included in the multivariate data using the extracted model object and a set of test data. In turn, the computing system may use the anomaly detection model to monitor for anomalies in observation data originating from the given data source.