Abstract: A data access method includes: receiving a data request, where the data request indicates a plurality of source storage addresses and a target data type; reading, from a memory based on the data request, a first memory block indicated by each of the plurality of source storage addresses, where a length of the first memory block is a granularity for accessing the memory; extracting data of each source storage address from the first memory block indicated by each source storage address; combining data of all the source storage addresses based on a length of a cache line to obtain a second memory block; and sending the second memory block to a processing subsystem, for the processing subsystem to cache the second memory block.

Abstract: Example data processing methods and apparatuses, example computer devices, and example computer-readable storage medium are provided. An example data processing method is applied to a storage system in which storage and computing are decoupled. The storage system includes a computing cluster and a storage cluster. The example method is performed by a computing node in the computing cluster. The example method includes receiving a data processing request, where the data processing request indicates to process a file. A first gateway device is determined from a plurality of gateway devices in the storage cluster. The data processing request is sent to the first gateway device, where the first gateway device forwards the data processing request to a storage node in the storage cluster to complete the processing of the file.

Abstract: A method and system related to managing mobile assets, the method including receiving asset event data associated with a plurality of mobile assets including information indicative of location status, motion status, and cargo status of the plurality of mobile assets; determining asset segment data defined by the asset event data of the plurality of mobile assets during a time interval based on the asset event data; determining turn time data for each of the plurality of mobile assets; calculating a set of metrics for the plurality of mobile assets based on the asset segment data and the turn time data; determining an optimal asset pool size for a location to be serviced by the plurality of mobile assets; and providing an output of the determined optimal asset pool size for the location.