Netcracker Technology Corporation

Tom Shusta

Michael Magnotta

Jason Jump

Habib I Mostafa

Debdatta Bhattacharjee

Sreedhar Rao

George Robson

Ray Savarese

The present solution relates to an improved system and method for reducing traffic flow between the subscriber's device, network, and a charging system. The methods and systems described herein can provide a mediator (or buffer) between the network and the charging system. The mediator can be controlled independently of the charging system and for each client device on the network can run an instance of a quota cache. The charging system can provide the quota cache with a service quota that is allocated out as resource grans to the client device over a given period of time. The mediator can be configured to include a plurality of charging and reporting parameters, which determine how the mediator reports subscriber consumption back to the charging system. The mediator can receive the consumption updates from the client device and aggregate the consumption and report back to the charging system at predefined intervals.

Methods and systems for reducing data traffic flow between a network and an online charging system

The present solution relates to an improved system and method for reducing traffic flow between the customer's client device, network, and the charging system. The methods and systems described herein can provide a predictive rating buffer between the network and the charging system. The predictive rating buffer can receive, from the online charging solution, data about services to be provided to a client device. The predictive rating buffer can generate primary allocation balances for the client device. Network grants can be made to the client device by the primary allocation balances. If a primary allocation balance is exhausted, an incoming grant can be granted from a contingency allocation balance.

Methods and systems for providing predictive rating using a buffer

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Lake Mary, FL, United States of America

Tom Shusta