Software systems and methods for a-oalp ambiguity mitigation and distributed adaptive cooperative schedulers

A distributed adaptive cooperative scheduler (DACS) system, comprising:

• memory;
• and
• one or more processing elements operatively connected to the memory, wherein the one or more processing elements are configured to execute software to:
• represent the software as one or more advanced output-affecting linear pathways (A-OALPs) having associated time and resource complexity information;
• receive an expected start time and an expected due time for execution of the one or more A-OALPs;
• select at least one A-OALP based on one or more input variable attribute values using an A-OALP selection table;
• compute a maximum number of processing elements for the selected at least one A-OALP using at least advanced time and resource complexity values;
• transmit the selected at least one A-OALP to a resource checker;
• determine, via the resource checker, a go/no-go signal based on a predicted processing time relative to the expected due time;
• initiate, when the go/no-go signal indicates sufficient resources, execution of the selected A-OALP;
• and
• dynamically reallocate at least one processing element to compensate for late data arrival or upstream delays.