1. A trainer of a many core system comprising a plurality of cores for controlling resource utilization within the many core system, wherein the trainer comprises a controller configured to: cause a task scheduler to add a first synthetic variable load to at least one task thread comprising at least one task and to schedule the at least one task thread for execution by the many core system during a first execution cycle; wherein the synthetic variable load is added to the beginning execution of the at least one task thread scheduled; cause a generic probe element to set a plurality of probes configured to measure a real time requirement at a respective plurality of points within an execution of the at least one task thread during the first execution cycle and to rank the plurality of probes according to a worst case timing; cause a training element to calculate a real time slack measurement constant (RS) value based on the worst case timing for each of the plurality of probes and to select at least one of the plurality of probes, wherein the selected at least one probe has a worst case RS value, wherein the training element is further configured to calculate a system load constant (SL) value based on the worst case RS value, and wherein a second synthetic variable load is determined based on the selected at least one probe having the worst case RS value and the SL value for use in a second execution cycle subsequent to the first execution cycle; and to cause a resource manager to adjust at least one system parameter based on the at least one selected probe having the worst case RS value, wherein the adjusted system parameter is utilized in the second execution cycle and associated to the worst case RS value.