In one embodiment, a method includes identifying a mobile service provider network (SPN) and a geographic location of an online social network user and accessing a service-provider table associated with the identified mobile SPN and with the geographic location. The service-provider table indexes a reliability score and a sampling amount for multiple messaging-service providers in the geographic location. The method further determines, based on the service-provider table, whether any of the messaging-service providers has a sampling amount below a threshold sampling amount and sends messaging traffic via the determined messaging-service provider until the sampling amount is greater than or equal to the threshold sampling amount. The messaging traffic is used to update the reliability score for the messaging-service provider. The method further includes selecting a messaging-service provider based on the updated reliability scores of the messaging-service providers and sending a message to the user via the selected messaging service-provider.

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.

A system, method, and computer program product are provided for identification of common root causes with sequential patterns. In use, a plurality of customer event sequences are identified. Additionally, the plurality of customer event sequences are grouped into a hierarchical framework of patterns. Further, a root-cause analysis (RCA) is performed for the customer event sequences utilizing the hierarchical framework of patterns.

Systems and methods are described herein for performing automated testing of online charging systems associated with telecommunications networks. In some embodiments, the systems and methods utilize various components associated with an online charging system, such as an event mediator, to convert data associated with test cases to be simulated by the online charging system (e.g., data from spreadsheets) into various test requests actionable during the online charging system under when simulating the test cases.

A charging system includes a source charging function element of a communications system. The source charging function element includes at least one processing circuit that is operative to process charge events for network charging related to a customer identifier to write customer data indicating the network charging into a source data partition of a global storage system. Based on receiving an event message, the source charging function element determines the customer identifier based on content of the event message and performs a look up in a translation function to obtain a mapping between the customer identifier and at least data partition that includes the source data partition. When the customer identifier is determined to be mapped by the translation function to the source data partition and to a target data partition, the source charging function element communicates with a target charging function element.

A mobile digital telecommunication system, a computer-implemented method, and a computer readable medium having stored thereon a computer executable program code for processing of usage detail records (UDRs) is disclosed herein. The mobile digital cellular telecommunication system comprises a network component configured to generate the UDRs, a rating system and a billing system.

An intelligent gateway device provided at a premise (home or business) for providing and managing application services associated with use and support of a plurality of digital endpoint devices associated with the premises. The device includes a communications and processing infrastructure integrated with a peer and presence messaging based communications protocol for enabling communications between the device and an external support network and between the device and connected digital endpoint devices. A services framework at the gateway device implements the communications and processing infrastructure for enabling service management, service configuration, and authentication of user of services at the intelligent gateway. The framework provides a storage and execution environment for supporting and executing received service logic modules relating to use, management, and support of the digital endpoint devices. Thus, the gateway device provides a network-based services point of presence for a plurality of digital endpoint devices at the premises.

In one example, a charging filtering function may obtain a request for one or more rules that control whether or when one or more charging data records associated with a user equipment are to be provided to one or more billing systems. The request includes an identification of the user equipment. Based on the identification of the user equipment, the charging filtering function may identify the one or more rules. The charging filtering function may provide the one or more rules to control whether or when the one or more charging data records associated with the user equipment are to be provided to the one or more billing systems.

Managing transaction data during times of low network connectivity by organizing billing information for prioritized processing during periods of higher network connectivity. During low connectivity events, billing information is organized based, at least in part, on a combination of age and revenue to communicate important billing information upon reconnection.

The present invention is directed toward networks and more particularly to a method and system for providing information related to reconciliation billing in such networks. In one more embodiments, a computer implemented method provides for identifying discrepancies in billable events of one or more of a customer's network elements which have been compared with operator usage data.