Dynamically tuning memory pool using time series data

A method for allocating memory in a memory storage area in a computer system comprising:

• detecting, at a hardware processor associated with a memory in a computer system, one or more applications running on the computer system, the computer system memory comprising a memory pool storage area for exclusive use by the application;
• and for each detected application:
• running, at the hardware processor, a first machine learned model trained to predict, using time-series data obtained from past memory usage by the detected application, a number of allocation requests for memory cells in the memory pool storage area for the detected application;
• running, at the hardware processor, a second machine learned model trained to predict, using the time-series data obtained from said past memory usage by the detected application, a size of a memory cell to be allocated in the memory pool storage area for each detected application;
• and
• dynamically allocating, by the hardware processor, for each detected application running on the computer system, a corresponding reserved memory pool storage area of a size based on the predicted number of allocations and the predicted memory cell size for the detected application.

A computer program product for allocating memory in a memory storage area in a computer system, the computer program product comprising:

• one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions comprising:
• program instructions to detect one or more applications running on the computer system, the computer system memory comprising a memory pool storage area for exclusive use by the application;
• and for each detected application;
• program instructions to run a first machine learned model trained to predict, using time-series data obtained from past memory usage by the detected application, a number of allocation requests for memory cells in the memory pool storage area for the detected application;
• program instructions to run a second machine learned model trained to predict, using the time-series data obtained from said past memory usage by the detected application, a size of a memory cell to be allocated in the memory pool storage area for each detected application;
• and
• program instructions to dynamically allocate, for each detected application running on the computer system, a corresponding reserved memory pool storage area of a size based on the predicted number of allocations and the predicted memory cell size.