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LP based MPC Algorithm in Distributed Real-Time Systems with End-to-End Tasks | IEEE Conference Publication | IEEE Xplore

LP based MPC Algorithm in Distributed Real-Time Systems with End-to-End Tasks


Abstract:

This paper presents a linear-programming (LP) based model predictive control (MPC) algorithm to handle the utilization control in distributed real-time systems with end-t...Show More

Abstract:

This paper presents a linear-programming (LP) based model predictive control (MPC) algorithm to handle the utilization control in distributed real-time systems with end-to-end tasks. The LP based MPC algorithm can achieve desired CPU utilization despite some uncertainties of the system workload. And the computational advantage of LP problems makes it promising to handle large-scale systems. The simulations demonstrate that the algorithm exhibits good robustness to task execution times uncertainty while having little computational cost.
Date of Conference: 28-30 November 2005
Date Added to IEEE Xplore: 22 May 2006
Print ISBN:0-7695-2504-0
Conference Location: Vienna, Austria

References

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