Abstract: As described herein, a system, method, and computer program are provided for managing quality of 5G network slice services. A latency issue in a 5G network is detected. Information associated with the 5G network is collected. The information is analyzed to determine a network slice provisioned in the 5G network having a quality requirement that is not met as a result of the latency issue. The network slice is reengineered, using the information associated with the 5G network. The reengineered network slice is deployed in the 5G network.

Abstract: A computer-implemented method for determining auction prices of vehicles may include obtaining wholesale auction price data indicative of wholesale auction prices and vehicle attribute values of a plurality of vehicles; grouping the plurality of vehicles into a plurality of vehicle groups respectively associated with a plurality of characteristics; determining a plurality of regression models respectively based on the plurality of vehicle groups; obtaining information describing a target vehicle; based on the target-vehicle values and values for the one or more economic indicators, determining an estimated wholesale auction price of the target vehicle using an identified regression model of the plurality of regression models; determining a discount factor representing an expected discount of a post-repossession auction price of the target vehicle from the estimated wholesale auction price; and determining an estimated post-repossession auction price of the target vehicle based on the estimated wholesale aucti

Abstract: A computer-implemented method for determining auction prices of vehicles may include obtaining wholesale auction price data indicative of wholesale auction prices and vehicle attribute values of a plurality of vehicles; grouping the plurality of vehicles into a plurality of vehicle groups respectively associated with a plurality of characteristics; determining a plurality of regression models respectively based on the plurality of vehicle groups; obtaining information describing a target vehicle; based on the target-vehicle values and values for the one or more economic indicators, determining an estimated wholesale auction price of the target vehicle using an identified regression model of the plurality of regression models; determining a discount factor representing an expected discount of a post-repossession auction price of the target vehicle from the estimated wholesale auction price; and determining an estimated post-repossession auction price of the target vehicle based on the estimated wholesale aucti

Abstract: A computer-implemented method for determining auction prices of vehicles may include obtaining wholesale auction price data indicative of wholesale auction prices and vehicle attribute values of a plurality of vehicles; grouping the plurality of vehicles into a plurality of vehicle groups respectively associated with a plurality of characteristics; determining a plurality of regression models respectively based on the plurality of vehicle groups; obtaining information describing a target vehicle; based on the target-vehicle values and values for the one or more economic indicators, determining an estimated wholesale auction price of the target vehicle using an identified regression model of the plurality of regression models; determining a discount factor representing an expected discount of a post-repossession auction price of the target vehicle from the estimated wholesale auction price; and determining an estimated post-repossession auction price of the target vehicle based on the estimated wholesale aucti

Abstract: A computer-implemented method for determining auction prices of vehicles may include obtaining wholesale auction price data indicative of wholesale auction prices and vehicle attribute values of a plurality of vehicles; grouping the plurality of vehicles into a plurality of vehicle groups respectively associated with a plurality of characteristics; determining a plurality of regression models respectively based on the plurality of vehicle groups; obtaining information describing a target vehicle; based on the target-vehicle values and values for the one or more economic indicators, determining an estimated wholesale auction price of the target vehicle using an identified regression model of the plurality of regression models; determining a discount factor representing an expected discount of a post-repossession auction price of the target vehicle from the estimated wholesale auction price; and determining an estimated post-repossession auction price of the target vehicle based on the estimated wholesale aucti

Abstract: A system includes a processor and memory comprising executable instructions that cause the processor to effectuate operations. The operations include determining that a network resource has been implemented using a network element indicated by a data structure of a graph database comprising a network inventory. The operations also include establishing a first level model based on at least the data structure and a second level model indicative of the network resource. The operations include defining a topology of the second level model, wherein the topology comprises the first level model. The operations also include defining a persona associated with the first level model, the persona linking the first level model to the second level model.

Abstract: An automated provisioning system for provisioning a service or device in a communications network, which system comprises a listener (2) adapted to receive a request from a user and a driver adapted to control operation of the service or device. The driver supports a describe operation, which enumerates which operations are available for the user and co-operates with a control processor (22), which mediates between the driver and a data store holding information on which operations are available for the user. When a request to provision an available operation is received, the control processor (22) mediates between the data store and driver to determine what information is required to provision the service or device and to permit the driver to provision the service or device. The system dispenses with the table driven approach of known systems.

Abstract: An automated provisioning system for provisioning a service or device in a communications network, which system comprises a listener (2) adapted to receive a request from a user and a driver adapted to control operation of the service or device. The driver supports a describe operation, which enumerates which operations are available for the user and co-operates with a control processor (22), which mediates between the driver and a data store holding information on which operations are available for the user. When a request to provision an available operation is received, the control processor (22) mediates between the data store and driver to determine what information is required to provision the service or device and to permit the driver to provision the service or device. The system dispenses with the table driven approach of known systems.