Decentralized End-to-end Utilization CONtrol (DEUCON)

Many real-time systems must control their CPU utilizations in order to meet end-to-end deadlines and prevent overload. Utilization control is particularly challenging in distributed real-time systems with highly unpredictable workloads and a large number of end-to-end tasks and processors. This paper presents the Decentralized End-to-end Utilization CONtrol (DEUCON) algorithm that can dynamically enforce desired utilizations on multiple processors in such systems. In contrast to centralized control schemes adopted in earlier work, DEUCON features a novel decentralized control structure that only requires localized coordination among neighbor processors. DEUCON is systematically designed based on recent advances in distributed model predictive control theory. Both control-theoretic analysis and simulations show that DEUCON can provide robust utilization guarantees and maintain global system stability despite severe variations in task execution times. Furthermore, DEUCON can effectively distribute the computation and communication cost to different processors and tolerate considerable communication delay between local controllers. Our results indicate that DEUCON can provide scalable and robust utilization control for large-scale distributed real-time systems executing in unpredictable environments.

Xiaorui Wang, Dong Jia, Chenyang Lu, and Xenofon Koutsoukos, Decentralized Utilization Control in Distributed Real-Time Systems, The 26th IEEE Real-Time Systems Symposium (RTSS 2005), Miami, Florida, December 2005.


DEUCON simulator is open-source software. You are welcome to download the current release of DEUCON simulator 1.0 or 1.0.b which is batch simulator computing different execution time factors in one time.


For more information, please contact Prof. Xiaorui Wang. This project is a joint work with Prof. Chenyang Lu and Prof. Xenofon Koutsoukos.

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