This disclosure describes, in part, systems and techniques for retrieving complex data from multiple data sources corresponding to a current cost of consumable materials and a current cost of labor used to provide a service. Once retrieved, the system may determine a total current cost of the consumable materials and a total current cost of the labor. Furthermore, the system may use the total current cost of the consumable materials and the total current cost of the labor to determine an overall current cost of the service. The system may simultaneously provide an overall current cost of multiple services.

A method for facilitating collection and display of information related to data usage by a plurality of mobile devices is disclosed. The method involves receiving first quantity information and sending a first identifier associated with the plurality of mobile devices and first activity-related information including the first quantity information to a server. The method also involves receiving group activity-related information associated with the plurality of mobile devices, the group activity-related information derived at least in part from second activity-related information including second quantity information, and producing signals for causing a display to display information derived from the group activity-related information. A method of associating a plurality of mobile devices in a group is also disclosed. Systems and computer-readable media for facilitating collection and display of information related to data usage by a plurality of mobile devices and for associating a plurality of mobile devices in a group are also disclosed.

Systems and methods may provide for establishing a data usage budget based on one or more of user input and historical usage data, wherein the data usage budget distinguishes between usage types and distinguishes between connection types. Additionally, a data usage of one or more client devices may be monitored in accordance with the data usage budget. In one example, the usage types are designated as one or more of a high bandwidth usage and a low bandwidth usage, and the connection types are designated as one or more of a capped connection and a non-capped connection.

An architecture to allow Multi-Access Edge Computing (MEC) billing and charge tracking, is disclosed. In an example, a tracking process, such as is performed by an edge computing apparatus, includes: receiving a computational processing request for a service operated with computing resources of the edge computing apparatus from a connected edge device within the first access network, wherein the computational processing request includes an identification of the connected edge device; identifying a processing device, within the first access network, for performing the computational processing request; and storing the identification of the connected edge device, a processing device identification, and data describing the computational processes completed by the processing device in association with the computational processing request.

Methods and apparatus for dynamic pricing and scheduling of network data transfers are disclosed. A system a plurality of network-accessible resources and a data transfer coordinator. In response to a client request for a network transfer of a data set, the coordinator determines, based at on a network-related metric of one or more resources, at least one time window during which a portion or all of the data set is transferable for a pricing rate below a threshold. The coordinator notifies the client of the time window and provides a duration-limited token authorizing data transfer during the window. The coordinator determines whether a network transmission of data on behalf of the client is valid based at least in part on a time at which the transmission is initiated and at least in part on a use of the token.

Methods and apparatus to generate audience measurement data from population sample data having incomplete demographic classifications are disclosed. An example method includes detecting that a number of impressions a time segment of a video occurred based on messages; detecting that no impressions for the time segment of the video were detected by the database proprietor; determining respective percentages of exposures of the video that are attributable to corresponding ones of multiple demographic groups, determining the respective percentages being based on the first demographic information provided by the database proprietor for exposures of other time segments of the video; attributing respective portions of the number of impressions to the demographic groups based on the respective percentages to determine imputed numbers of impressions; generating adjusted numbers of impressions based on the imputed numbers of impressions; and determining ratings information for the video using the adjusted numbers of impressions.

A method for managing mobile payments in a mobile phone. The method includes receiving data associated with a plurality of issuer specific payment services at a mobile phone, selecting one of the issuer specific payment services, and conducting a transaction using the phone.

An architecture to allow Multi-Access Edge Computing (MEC) billing and charge tracking, is disclosed. In an example, a tracking process, such as is performed by an edge computing apparatus, includes: receiving a computational processing request for a service operated with computing resources of the edge computing apparatus from a connected edge device within the first access network, wherein the computational processing request includes an identification of the connected edge device; identifying a processing device, within the first access network, for performing the computational processing request; and storing the identification of the connected edge device, a processing device identification, and data describing the computational processes completed by the processing device in association with the computational processing request.

Systems and methods may provide for establishing a data usage budget based on one or more of user input and historical usage data, wherein the data usage budget distinguishes between usage types and distinguishes between connection types. Additionally, a data usage of one or more client devices may be monitored in accordance with the data usage budget. In one example, the usage types are designated as one or more of a high bandwidth usage and a low bandwidth usage, and the connection types are designated as one or more of a capped connection and a nan-capped connection.

Methods and apparatus to generate audience measurement data from population sample data having incomplete demographic classifications are disclosed. An example method includes detecting that a number of impressions a time segment of a video occurred based on messages; detecting that no impressions for the time segment of the video were detected by the database proprietor; determining respective percentages of exposures of the video that are attributable to corresponding ones of multiple demographic groups, determining the respective percentages being based on the first demographic information provided by the database proprietor for exposures of other time segments of the video; attributing respective portions of the number of impressions to the demographic groups based on the respective percentages to determine imputed numbers of impressions; generating adjusted numbers of impressions based on the imputed numbers of impressions; and determining ratings information for the video using the adjusted numbers of impressions.