Abstract: The present disclosure, in various embodiments, provides a system, method, and device for dynamic reconfiguration of networks of Internet of Things (IoT) devices. The method can include collecting network health data and gateway health data from a source gateway and transmitting a handoff signal to a source gateway. The handoff signal can initiate a device assignment routine when at least one trigger criterion is met, such as of a load-balancing event, a failover event, a roaming event, or a user-initiated event. A target gateway can be determined based on selection parameters and can receive relevant device details from the source gateway to enable the IoT device to connect with the target gateway.

Abstract: The present disclosure, in various embodiments, provides a system, method, and device for network and device health monitoring in networks of Internet of Things (IoT) devices. The method can comprise generating device health data associated with an IoT device by extracting device diagnostic parameters from IoT device data and generating gateway health data associated with a gateway device by extracting gateway diagnostic parameters from gateway data. The method can further comprise determining whether any one of the gateway health data or the device health data meets a suspension criteria and transmitting a suspension signal to the gateway device in response to the gateway health data meeting a suspension criteria.

Abstract: A database query optimization method is provided for database queries that include predicates, the queries being directed to at least one database table having data in rows and columns. The method includes associating a lineage bit set with each row of the database table, the lineage bit set providing a binary predicate state indication whether each predicate is met or are not met by data in the row. A dependency bit set is established to provide a binary indication of the predicates that are included in each query. Queries are applied against the database table by a logical operation between the lineage bit set and the dependency bit set. A database query optimization data structure includes a lineage bit set associated with each row in the database table. The lineage bit set provides a binary predicate state indication whether each predicate is met or are not met by data in the row.

Abstract: A database query optimization method is provided for database queries that include predicates, the queries being directed to at least one database table having data in rows and columns. The method includes associating a lineage bit set with each row of the database table, the lineage bit set providing a binary predicate state indication whether each predicate is met or are not met by data in the row. A dependency bit set is established to provide a binary indication of the predicates that are included in each query. Queries are applied against the database table by a logical operation between the lineage bit set and the dependency bit set. A database query optimization data structure includes a lineage bit set associated with each row in the database table. The lineage bit set provides a binary predicate state indication whether each predicate is met or are not met by data in the row.

Abstract: A database query optimization method is provided for database queries that include predicates, the queries being directed to at least one database table having data in rows and columns. The method includes associating a lineage bit set with each row of the database table, the lineage bit set providing a binary predicate state indication whether each predicate is met or are not met by data in the row. A dependency bit set is established to provide a binary indication of the predicates that are included in each query. Queries are applied against the database table by a logical operation between the lineage bit set and the dependency bit set. A database query optimization data structure includes a lineage bit set associated with each row in the database table. The lineage bit set provides a binary predicate state indication whether each predicate is met or are not met by data in the row.

Abstract: A database query optimization method is provided for database queries that include predicates, the queries being directed to at least one database table having data in rows and columns. The method includes associating a lineage bit set with each row of the database table, the lineage bit set providing a binary predicate state indication whether each predicate is met or are not met by data in the row. A dependency bit set is established to provide a binary indication of the predicates that are included in each query. Queries are applied against the database table by a logical operation between the lineage bit set and the dependency bit set. A database query optimization data structure includes a lineage bit set associated with each row in the database table. The lineage bit set provides a binary predicate state indication whether each predicate is met or are not met by data in the row.