Abstract: Various examples are disclosed for hybrid alert and action solution in Internet-of-Things (IoT) networks. A multi-edge alert definition specifies a plurality of IoT devices that communicate through edge devices. The multi-edge alert definition is decomposed decompose into individual edge alert sub-definitions. Each of the individual edge alert sub-definitions is evaluated using data from individual ones of the edge devices. An alert is triggered based on one of the individual edge alert sub-definitions being met.

Abstract: Various examples are disclosed for hybrid alert and action solution in IoT (IoT) networks. A cloud layer decision model that generates cloud layer predictions is identified using device layer data. A quantized decision model is generated as a quantized version of the cloud layer decision model. A logical group that includes an edge device that collects a portion of the device layer data is identified. The quantized decision model is transmitted to the logical group.

Abstract: Various examples are disclosed for hybrid alert and action solution in Internet-of-Things (IoT) networks. A multi-edge alert definition specifies a plurality of IoT devices that communicate through edge devices. The multi-edge alert definition is decomposed decompose into individual edge alert sub-definitions. Each of the individual edge alert sub-definitions is evaluated using data from individual ones of the edge devices. An alert is triggered based on one of the individual edge alert sub-definitions being met.

Abstract: A computing environment is configured to divide a search query into at least a first sub-query and a second sub-query. A first service and a second service are created to execute the first sub-query and the second sub-query and identify search results from a first one and a second one of the databases, respectively, in parallel. For instance, in response to the first set of search results being placed in the first queue, the second one of the services can execute the second subquery on a second database while the first service performs subsequent queries. A final result of the search query can be generated based at least in part on the second set of search results in the second queue.

Abstract: Various examples are disclosed for hybrid alert and action solution in IoT (IoT) networks. A cloud layer decision model that generates cloud layer predictions is identified using device layer data. A quantized decision model is generated as a quantized version of the cloud layer decision model. A logical group that includes an edge device that collects a portion of the device layer data is identified. The quantized decision model is transmitted to the logical group.

Abstract: Various examples are disclosed for hybrid alert and action solution in Internet-of-Things (IoT) networks. A multi-edge alert definition specifies a plurality of IoT devices that communicate through a plurality of edge devices. The multi-edge alert definition is registered in a fog evaluation service for evaluation. Data corresponding to the IoT devices is received by the fog evaluation service from the plurality of edge devices. An alert is triggered based on a condition specified in the multi-edge alert definition.

Abstract: Various examples are disclosed for hybrid alert and action solution in Internet-of-Things (IoT) networks. A multi-edge alert definition specifies a plurality of IoT devices that communicate through a plurality of edge devices. The multi-edge alert definition is registered in a fog evaluation service for evaluation. Data corresponding to the IoT devices is received by the fog evaluation service from the plurality of edge devices. An alert is triggered based on a condition specified in the multi-edge alert definition.

Abstract: Various examples are disclosed for hybrid alert and action solution in IoT (IoT) networks. An edge device receives device layer data and generates an edge layer prediction by processing the device layer data using a quantized decision model. A confidence check is performed by comparing a confidence probability for the edge layer prediction to a threshold probability. An action to perform for the edge layer prediction is identified based on a result of the confidence check.

Abstract: Various examples are disclosed for successive database record filtering on disparate types of databases. A computing environment is configured to divide a search query into at least a first sub-query and a second sub-query. A first service and a second service are created to execute the first sub-query and the second sub-query and identify search results from a first one and a second one of the databases, respectively, in parallel. For instance, in response to the first set of search results being placed in the first queue, the second one of the services can execute the second sub-query on a second database while the first service performs subsequent queries. A final result of the search query can be generated based at least in part on the second set of search results in the second queue.

Abstract: A transparent conductive film having a first surface and a second surface, the second surface opposite the first surface; and at least one thermally stable substrate attached to the second surface. The transparent conductive film includes a plurality of thermally stable nanowires embedded within at least one polymer binder, the thermally stable nanowires include metal nanowires, the first surface includes a conductive surface of a plurality of the nanowires, the transparent conductive film has a sheet resistance that degrades by no more than 5% when heated to 300° C. for 1 hour, and the transparent conductive film has a transmittance at a wavelength of 550 nm that decreases by no more than 5% when heated to 300° C. for 1 hour. In one example, silver nanowires are made thermally stable using a thin layer of ZnO deposited using atomic layer deposition.