Adaptive resource management architecture for distributed real-time embedded systems

  • Authors:
  • Ke Liang;Xingshe Zhou;Ruiqing Sheng;Kailong Zhang

  • Affiliations:
  • Northwestern Polytechnical University, Xi'an, China;Northwestern Polytechnical University, Xi'an, China;Northwestern Polytechnical University, Xi'an, China;Northwestern Polytechnical University, Xi'an, China

  • Venue:
  • Proceedings of the 2009 ACM symposium on Applied Computing
  • Year:
  • 2009

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Abstract

Avionic distributed real-time embedded (DRE) systems execute in open environments where operational conditions, input workload, and resource availability cannot be characterized accurately a prior. We present adaptive resource management architecture for these systems to achieve end-to-end QoS. The architecture contains two loops and adopts bottom-up philosophy to deal with workload/resource variations. The inner loop is established based on feedback control theory, and handles mild variations; while the outer one includes subtask allocation and migration algorithms, to cope with drastic variations.