Feedback process to model CP utilization in multi-processor...

Data processing: structural design – modeling – simulation – and em – Simulating electronic device or electrical system – Software program

Reexamination Certificate

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C703S002000, C703S013000, C700S029000, C700S030000

Reexamination Certificate

active

10602116

ABSTRACT:
Feedback control algorithms for controlling a given simulation model which relates to a computer-program-based method and respective system for providing a feedback control for a given set of control quantities of a simulation model, comprising a plurality of iterated simulation runs each of which consumes a considerable amount of time. Each single run is performed with a setting of starting values for certain entry control quantities suited to control certain target quantities. The respective next setting of entry quantities is based on the value of the target quantities measured in the preceding simulation run. In order to provide for a fast convergence of the target quantities to a final, predetermined value, the following formula is applied:xn+1′=vn1+ρn⁡(1-vn)wherein-line-formulae description="In-line Formulae" end="lead"?νn=(n+1)u−nunin-line-formulae description="In-line Formulae" end="tail"?u is the final value of the target control quantity aimed at un, its value achieved up to iteration n of the simulation run and ρnis a suitable system parameter. χ is a certain entry quantity suited to make unconverge against u, and χ′n+1is the value of χ to be chosen for the next iteration.

REFERENCES:
Menascé, D.A. et al. Capacity Planning and Performance Modeling. © 1994. pp.iii-ix, 113-129, 153-159, and 263-266.
Färber, G. et al. “Improving Processor Utilization with a Task Classification Model Based Application Specific Hard Real-Time Architecture.” Proc. 4th Int'l Workshop on Real-Time Computing Systems and Applications. Oct. 27-29, 1997. pp. 276-283.
Lauzac, S. et al. “An Efficient RMS Admission Control and its Application to Multiprocessor Scheduling.” Proc. of the 1st Merged Int'l . . . and Symposium on Parallel and Distributed Processing. Mar. 30-Apr. 3, 1998. pp. 511-518.

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