A device for optimizing the scheduling of files to be sent to an application server at regular time intervals, the device configured to:



retrieve a first set of files from a database for a time interval, the first set of files being stored in a priority queue and carrying information sent from sensors linked to industrial machines,
apply the retrieved first set of files to a scheduling algorithm using a compression ratio and combined with a reinforcement learning in order to select a second set of files,
compress the second set of files based on the compression ratio into a compressed file, wherein the size of the compressed file is below a size limit, and
send the compressed file to the application server,
wherein the compression ratio is updated based on the size of the second set of files and the size of the compressed file, and
wherein the reinforcement learning uses the size of a previous compressed file from a previous time interval.