Abstract: A system for time deferred usage of mobile data by a plurality of user devices each coupled to a network server and running one or more applications. The system includes a network measurement module, user profiling module and a price-optimization computational module located at the network server and a user interface module located at each user device. The network measurement module collects traffic data from each of the applications to generate the historical congestion data and current congestion data. The user profiling module is configured to receive user reaction data and determine how much mobile data for each application may be deferred to a later point in time to generate the predicted user reaction data.

Abstract: A system and method for delivering variable pricing of data usage to a user device operated by a user is disclosed. The system includes a server configured with a usage monitor configured to identify the user and monitor usage patterns of the user device. The server has a pricing policy engine configured to generate pricing information based on at least one of the identity of the user and the usage patterns. The pricing policy engine is configured to transmit the pricing information to the user device. The user device is configured with a usage controller having a user interface configured to receive a delay preference selection identifying at least one delay tolerant application. The usage controller is configured to receive pricing information from the pricing policy engine and to delay data usage to the delay tolerant application based on the delay preference selection and the pricing information.

Abstract: A system for time deferred usage of mobile data by a plurality of user devices each coupled to a network server and running one or more applications. The system includes a network measurement module, user profiling module and a price-optimization computational module located at the network server and a user interface module located at each user device. The network measurement module collects traffic data from each of the applications to generate the historical congestion data and current congestion data. The user profiling module is configured to receive user reaction data and determine how much mobile data for each application may be deferred to a later point in time to generate the predicted user reaction data.

Abstract: Systems and methods are provided for Online Analytical Processing of data included within data warehouses. According to one example, a method for adding a dimension to a hyper-lattice structure is provided and includes adding a new base cuboid to a hyper-lattice that describes functionality of the data warehouses. According to another example, a method for determining an optimal path through an existing hyper-lattice by which to generate a destination cuboid from a source cuboid is also provided.

Abstract: A system and method for delivering variable pricing of data usage to a user device operated by a user is disclosed. The system includes a server configured with a usage monitor configured to identify the user and monitor usage patterns of the user device. The server has a pricing policy engine configured to generate pricing information based on at least one of the identity of the user and the usage patterns. The pricing policy engine is configured to transmit the pricing information to the user device. The user device is configured with a usage controller having a user interface configured to receive a delay preference selection identifying at least one delay tolerant application. The usage controller is configured to receive pricing information from the pricing policy engine and to delay data usage to the delay tolerant application based on the delay preference selection and the pricing information.

Abstract: Systems and methods are provided for Online Analytical Processing of data included within data warehouses. According to one example, a method for adding a dimension to a hyper-lattice structure is provided and includes adding a new base cuboid to a hyper-lattice that describes functionality of the data warehouses. According to another example, a method for determining an optimal path through an existing hyper-lattice by which to generate a destination cuboid from a source cuboid is also provided.