A communication module includes a plurality of communication interfaces that support a plurality of different types of communication interface standards to implement a general-purpose communication module that enables data communication not depending on types of equipment. A plurality of programs to be executed in the communication module include a first app to be executed on an OS (Operating System) and one or a plurality of second apps to be executed on the OS. Each of one or more second apps is an app that performs communication in accordance with one or more types of communication protocol on one or more communication interface standards and is an app that can be arbitrarily installed and arbitrarily uninstalled. The first app is an app as middleware between the OS and the one or the plurality of second apps.

Systems and methods described herein include receiving, at a network device and from a session management device, a first message that includes a first identifier associated with a subscriber and a second identifier associated with a first service that is charged using an online charging system. The network device transmits a second message that indicates a first time period in which to report data usage associated with the first service and a second time period in which to report data usage associated with one or more second services that are charged using an offline charging system. The network device receives first data usage information associated with the first service after the first time period and second data usage information associated with the one or more second services after the second time period. The network device processes the data usage information.

Embodiments of the present invention relate to a centralized network analytic device, the centralized network analytic device efficiently uses on-chip memory to flexibly perform counting, traffic rate monitoring and flow sampling. The device includes a pool of memory that is shared by all cores and packet processing stages of each core. The counting, the monitoring and the sampling are all defined through software allowing for greater flexibility and efficient analytics in the device. In some embodiments, the device is a network switch.

Methods, non-transitory machine readable media, and network stack analysis devices that generate optimized preferred provider organization (PPO) network stacks are disclosed. With this technology, electronic transactions are applied to each of a first plurality of network stacks to determine a cost reduction value for each of the first network stacks. Each of the first network stacks includes an ordered subset of networks. The first network stacks are resampled based on the determined cost reduction values. A determination is made when one or more convergence criteria are met by the resampled first network stacks. When the determination indicates that the convergence criteria are not met by the resampled first network stacks, one or more of the first network stacks are modified based on genetic crossover or mutation operation(s) to generate a second plurality of network stacks. The application, resampling, and determination are then repeated for the second network stacks.

A processing system may maintain a communication graph that includes nodes representing a plurality of phone numbers including a first phone number and edges between the nodes representing a plurality of communications between the plurality of phone numbers and may generate at least one vector via a graph embedding process applied to the communication graph, the at least one vector representing features of at least a portion of the communication graph. The processing system may then apply the at least one vector to a prediction model that is implemented by the processing system and that is configured to predict whether the first phone number is associated with a type of network activity associated with a telecommunication network and may implement a remedial action in response to an output of the prediction model indicating that the first phone number is associated with the type of network activity.

Techniques and architectures enable a wireless communications network to allow for dynamic changes or on-the-fly selections of Fair Usage thresholds or other thresholds and to allow for the Fair Usage thresholds to be associated with individual subscribers of the wireless communications network. Subscriber groups of relatively small granularity or individual subscribers may be assigned a profile that sets forth actions to be applied to subscribers in response to the subscribers reaching particular thresholds of data usage.

Product offering systems are provided. Product offering systems may include sending an offer to a customer that possesses a mobile computing device and has agreed to receive offers for products via the mobile computing device. Agreeing to receive offers would result in the unique data about the customer being available to offer provider. Unique customer data may include data related to the customers wireless service provider or from a financial account in a financial institution, and collecting customer data about the customer, wherein the customer data comprises financial data and personal data. Product offering systems may further include registering a wireless computing device of the customer to able the device to receive the offer, and determining opportunities to send the offer to the customer by monitoring the customer and the customer data. Product offering systems may also include sending the offer to the customer's registered device based on the determination of opportunities.

A system, method, and computer readable medium for usage billing of one or more hosted applications serving one or more clients. The hosted applications are contained within one or more isolated environments or run without isolated environments. The system may include usage billing based on one or more of resources open, amount of data flowing through resources, number of open files, number of transactions, number of concurrent users, number of processes, CPU utilization and memory usage, The system may further include a management interface where administrators may add, remove and configure isolated environments, configure client policies and credentials, and force upgrades. If using isolated environments, the isolated environments may be isolated from other applications and the host operating system on the clients and applications within the isolated environments may run without performing an application-installation on the client.

A network services provider delivers bandwidth services to users in relation to a dynamic limit based on an average user consumption, rather than a fixed amount per subscriber. An average user consumption is employed to compute a consumption limit from relative portions of a user community substantially exceed the average, typically defined as “heavy users.” Usage levels below the consumption limit have an increased availability up to the consumption limit. The consumption limit may vary from a total capacity of the service infrastructure, which changes, generally in an increasing manner, as additional resources are added to the network. The consumption limits may be defined over different service intervals, such as daily, weekly or monthly, and for different groups of users depending on network layout.

Aspects of the subject disclosure may include, for example, obtaining roaming agreement data related to roaming agreements that are between a wireless provider and a respective one of a plurality of wireless roaming providers; obtaining, for each wireless subscriber of the wireless provider, respective roaming usage data, all of the respective roaming usage data comprising collective roaming usage data; training, based upon the collective roaming usage data, a set of one or more models, the one or more models comprising one or more statistical models, one or more machine learning models, or any combination thereof, the one or more models being trained with multiple iterations of feedback loops, and the training resulting in one or more trained models; estimating for each wireless subscriber, based upon the one or more trained models, respective projected location information for a future time, all of the respective projected location information comprising collective projected location information; obtaining, for each of a plurality of wireless coverage areas of the plurality of wireless roaming providers, respective real-time network quality measurement data, all of the respective real-time network quality measurement data comprising collective real-time network quality measurement data; modeling a plurality of scenarios for the future time based upon the roaming agreement data, based upon the collective real-time network quality measurement data and based upon the collective projected location information, each of the scenarios identifying for each of a plurality of projected future wireless roaming subscribers a respective one of the wireless roaming providers to communicate with at the future time, each of the scenarios further identifying a respective cost to the wireless provider, and the modeling being performed via use of a plurality of model constraints; selecting from the scenarios, as a selected scenario, a scenario that has associated therewith a lowest total cost to the wireless provider also satisfying one or more of the plurality of model constraints based upon the collective roaming agreement data; and sending recommendations, to a plurality of steering mechanisms, in order to implement the selected scenario. Other embodiments are disclosed.