Computer operating system shutdown sequencing

A computer system, the computer system comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more computer-readable tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, wherein the computer system is capable of performing a method comprising:
• receiving a command to initiate an OS shutdown from a user;
• creating a first list of one or more running tasks to terminate according to a given order in response to receiving the command;
• determining whether there is historical data relating to at least one of the one or more running tasks to terminate as requiring user input to terminate;
• and
• in response to determining there is no historical data:
• sending a termination request to a particular running task of the one or more running tasks to terminate in accordance with a given order of the created first list;
• determining whether the particular running task requires the user input to terminate;
• and
• in response to determining the particular running task requires the user input to terminate:
• increasing a weight of the particular running task, wherein the increased weight of the particular running task is added to a machine learning (ML) model as the historical data.

A computer program product, the computer program product comprising:

• one or more computer-readable storage medium and program instructions stored on at least one of the one or more computer-readable storage medium, the program instructions executable by a processor capable of performing a method, the method comprising:
• receiving a command to initiate an OS shutdown from a user;
• creating a first list of one or more running tasks to terminate according to a given order in response to receiving the command;
• determining whether there is historical data relating to at least one of the one or more running tasks to terminate as requiring user input to terminate;
• and
• in response to determining there is no historical data:
• sending a termination request to a particular running task of the one or more running tasks to terminate in accordance with a given order of the created first list;
• determining whether the particular running task requires the user input to terminate;
• and
• in response to determining the particular running task requires the user input to terminate:
• increasing a weight of the particular running task, wherein the increased weight of the particular running task is added to a machine learning (ML) model as the historical data.