Systems and methods for managing content to improve battery life of client devices. A data processing system receives requests for content items from client devices. The data processing system selects the content items from a set of content items and transmits the content items to the respective client devices. The client devices acquire battery status information related to the displaying or rendering of their respective content item. The data processing system receives the battery status information from the client devices and determines a power consumption value associated with the content items. Based on the power consumption value being greater than a threshold power consumption value, the data processing system modifies a policy for selecting the content items from the set of content items.

Systems and methods for managing content to improve battery life of client devices. A data processing system receives requests for content items from client devices. The data processing system selects the content items from a set of content items and transmits the content items to the respective client devices. The client devices acquire battery status information related to the displaying or rendering of their respective content item. The data processing system receives the battery status information from the client devices and determines a power consumption value associated with the content items. Based on the power consumption value being greater than a threshold power consumption value, the data processing system modifies a policy for selecting the content items from the set of content items.

Various systems, mediums, and methods herein describe aspects of a proximity and validation based data merging system. The system may access a first data set and a plurality of second data sets that correspond to physical locations in a location space. The system my segment the location space into a plurality of location bins each having one or more nodes. The system may generate two or more maps based on two or more mapping rule and map the first data set and the plurality of second data sets into the nodes of the location bins. The system may determine one or more target nodes in the maps that include the first data set and at least one of the second data sets. The system may determine a minimum distance between the first data set and one of the second data sets in a target node.

A method of data storage includes associating delta colour compression DCC metadata with one or more tiles of graphics data, selecting one or more such tiles that are uniform in colour and hence can be accurately represented by the DCC metadata for that tile, and replacing some or all of the graphics data in one or more selected tiles with different data.

Systems and methods for managing content to improve battery life of client devices. A data processing system receives requests for content items from client devices. The data processing system selects the content items from a set of content items and transmits the content items to the respective client devices. The client devices acquire battery status information related to the displaying or rendering of their respective content item. The data processing system receives the battery status information from the client devices and determines a power consumption value associated with the content items. Based on the power consumption value being greater than a threshold power consumption value, the data processing system modifies a policy for selecting the content items from the set of content items.

Provided are a data access device which may retrieve at least a portion of a plurality of pieces of data from a module providing the pieces of data and an apparatus including the same. The data access device may include a data list storage configured to store a portion of a plurality of pieces of data generated by at least one sensor as an access list of data to be retrieved; and a processor configured to retrieve the portion of a plurality of pieces of data from an external source, based on the access list.

A data management circuit with network functions and a network-based data management method are provided. The network-based data management method is employed to manage a storage device coupled to a computer that includes a processor. The method includes steps of: receiving a network packet through a network; sending the network packet to the processor or accessing the storage device, according to a network header of the network packet; and requesting the processor to access the storage device according to a remaining capacity of the storage device and/or a content of the network packet.

A quota management system for Personal Video Recorders (PVRs) in which the storage space available on connected storage devices is shared between multiple content providers or multiple software programs.

This technique improves energy efficiency of MapReduce system by using system performance model without changing any component of the MapReduce system. This involves determining presence of any hardware bottleneck in any node of MapReduce system based on a system performance model and if any hardware bottleneck is present in any node, then the maximum bandwidth value of hardware associated with the bottleneck of each node is determined. Thereafter, an energy efficient value of Central Processing Unit (CPU) frequency of each node having the bottleneck is determined by using the system performance model and the maximum bandwidth value of hardware associated with the bottleneck. Further, the CPU frequency of each node having the bottleneck is set at the energy efficient value determined in the earlier step.

Embodiments of the present invention disclose a method and device for constructing a spatial index of massive point cloud data. The method includes: partitioning acquired original point cloud data to obtain a plurality of point cloud data blocks; constructing an octree index of a current point cloud data block for each point cloud data block; and merging the octree indexes of the plurality of point cloud data blocks to obtain a spatial index structure of the original point cloud data.