CPC G06F 16/1744 (2019.01) [H03M 7/3059 (2013.01); H03M 7/6064 (2013.01); H03M 7/70 (2013.01)] | 16 Claims |
1. A method of facilitating storage of data from plural data sources of a system, the system being an industrial automation control system (IACS), power distribution system, or power generation system, the method comprising:
determining, using at least one integrated circuit of a decision making device, a compression technique that is to be applied to the data, wherein the decision making device executes a machine learning algorithm to determine the compression technique in dependence on a data source from which the data originates, wherein determining the compression technique comprises executing the machine learning algorithm to generate an update of a data model or profile associated with the data source;
causing, by the decision making device, the compression technique determined for the data source to be applied to data from that data source by generating update information relating to the update of the data model or profile, and transmitting the update information to the data source for which the update of the data model or profile has been determined;
updating, by the data source, a compression model or profile stored locally at the data source based on received update information to thereby generate an updated compression model or profile; and
performing, by the data source, a compression based on the updated compression model or profile.
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