QoC Elastic Scheduling for Real-Time Control Systems

Tian, Yu-Chu & Gui, Li (2011) QoC Elastic Scheduling for Real-Time Control Systems. Real-Time Systems, 47(6), pp. 534-561.

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The elastic task model, a significant development in scheduling of real-time control tasks, provides a mechanism for flexible workload management in uncertain environments. It tells how to adjust the control periods to fulfill the workload constraints. However, it is not directly linked to the quality-of-control (QoC) management, the ultimate goal of a control system. As a result, it does not tell how to make the best use of the system resources to maximize the QoC improvement. To fill in this gap, a new feedback scheduling framework, which we refer to as QoC elastic scheduling, is developed in this paper for real-time process control systems. It addresses the QoC directly through embedding both the QoC management and workload adaptation into a constrained optimization problem. The resulting solution for period adjustment is in a closed-form expressed in QoC measurements, enabling closed-loop feedback of the QoC to the task scheduler. Whenever the QoC elastic scheduler is activated, it improves the QoC the most while still meeting the system constraints. Examples are given to demonstrate the effectiveness of the QoC elastic scheduling.

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1 citations in Scopus
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2 citations in Web of Science®

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ID Code: 42215
Item Type: Journal Article
Refereed: Yes
Keywords: Control systems, Real-time control, Elastic scheduling, Optimization, Quality of control, Workload management
DOI: 10.1007/s11241-011-9133-x
ISSN: 0922-6443
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Computer Software not elsewhere classified (080399)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Control Systems Robotics and Automation (090602)
Divisions: Past > Schools > Computer Science
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2011 Springer.
Deposited On: 30 Jun 2011 01:12
Last Modified: 28 Sep 2011 01:10

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