Abstract: A method, computer program product, and computer system directed to an online and distributed optimization framework for wireless analytics. A radio network controller determines a ranking for each of a plurality of received objects using a plurality of similarity graphs. The radio network controller extracts a common structure by collaborative filtering data associated with a plurality of user devices and the plurality of received objects. The common structure is analyzed to infer usage patterns within a time slot. The radio network controller stores a subset of the ranked objects of the plurality of received objects in response to the analysis.

Abstract: A method, computer program product, and computer system directed to an online and distributed optimization framework for wireless analytics. A radio network controller determines a ranking for each of a plurality of received objects using a plurality of similarity graphs. The radio network controller extracts a common structure by collaborative filtering data associated with a plurality of user devices and the plurality of received objects. The common structure is analyzed to infer usage patterns within a time slot. The radio network controller stores a subset of the ranked objects of the plurality of received objects in response to the analysis.

Abstract: Systems and methods for performing parallel multi-level data computations in a storage system are provided. One system includes a memory storing data, multiple caches, and a processor. The processor is configured to perform the method below. One method includes determining the total amount of data in the memory, dividing the amount of data by each cache capacity to determine the number of nodes needed for processing the data in the memory, and automatically creating the nodes. Here, the nodes form a tree structure including multiple levels where the lowest level includes a first number of nodes equal to the amount of data divided by the cache memory capacity. Also, each lowest level node is configured to process an amount of data equal to the cache memory capacity and each level above the lowest level is configured to include one or more nodes for receiving an input from lower level nodes.

Abstract: Systems and methods for performing parallel multi-level data computations in a storage system are provided. One system includes a memory storing data, multiple caches, and a processor. The processor is configured to perform the method below. One method includes determining the total amount of data in the memory, dividing the amount of data by each cache capacity to determine the number of nodes needed for processing the data in the memory, and automatically creating the nodes. Here, the nodes form a tree structure including multiple levels where the lowest level includes a first number of nodes equal to the amount of data divided by the cache memory capacity. Also, each lowest level node is configured to process an amount of data equal to the cache memory capacity and each level above the lowest level is configured to include one or more nodes for receiving an input from lower level nodes.