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Volume 22 Issue 1
January  2007
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Yong Liao, Xu-Dong Chen, Guang-Ze Xiong, Qing-Xin Zhu, Nan Sang. End-to-End Utilization Control for Aperiodic Tasks in Distributed Real-Time Systems[J]. Journal of Computer Science and Technology, 2007, 22(1): 135-146.
Citation: Yong Liao, Xu-Dong Chen, Guang-Ze Xiong, Qing-Xin Zhu, Nan Sang. End-to-End Utilization Control for Aperiodic Tasks in Distributed Real-Time Systems[J]. Journal of Computer Science and Technology, 2007, 22(1): 135-146.
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End-to-End Utilization Control for Aperiodic Tasks in Distributed Real-Time Systems

  • Real-Time Systems Lab, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China

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  • Received Date: June 23, 2005
  • Revised Date: March 22, 2006
  • Published Date: January 14, 2007
    Abstract
  • An increasing number of {DRTS} (Distributed Real-Time Systems) areemploying an end-to-end aperiodic task model. The key challenges of such{DRTS} are guaranteeing utilization on multiple processors toachieve overload protection, and meeting the end-to-end deadlines ofaperiodic tasks. This paper proposes an end-to-end utilization controlarchitecture and an {IC-EAT} (Integration Control for End-to-EndAperiodic Tasks) algorithm, which features a distributed feedback loopthat dynamically enforces the desired utilization bound on multipleprocessors. IC-EAT integrates admission control with feedbackcontrol, which is able to dynamically determine the QoS (Quality ofService) of incoming tasks and guarantee the end-to-end deadlines ofadmitted tasks. Then an LQOCM (Linear Quadratic Optimal Control Model) ispresented. Finally, experiments demonstrate that, for the end-to-end{DRTS} whose control matrix GG falls into the stable region, the{IC-EAT} is convergent and stable. Moreover, it is capable of providingbetter QoS guarantees for end-to-end aperiodic tasks and improving thesystem throughput.
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