3072	 Feedback Coupled Resource Allocation Policies in the Multiprogramming- Multiprocessor Computer System	 Model studies of some integrated feedback-driven scheduling systems for multiprogrammed- multiprocessor computer systems are presented. The basic control variables used are the data-flow rates for the processes executing on the CPU. The model systems feature simulated continuous-flow and preempt-resume scheduling of input-output activity. Attention is given to the amount of memory resource required for effective processing of the I O activity buffer space assignment . The model studies used both distribution-driven and trace-driven techniques. Even relatively simple dynamic schedulers are shown to improve system performance as measured by user CPU time over that given by optimal or near-optimal static schedulers imbeded in identical system structures and workload environments. The improvement is greatest under a heavy I O demand workload. Integrated schedulers feedback scheduling multiprogramming systems I O system scheduling
