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Characterizing robustness in dynamic real-time systems
DOI:10.1016/j.jss.2006.09.028.png)
摘要
En 中文
The problem of robust task allocation is motivated by the need to deploy real-time systems in dynamic operational environments. Existing robust allocation approaches employ coarse robustness metrics, which can result in poor allocations. This paper proposes a metric that accurately characterizes a system's robustness within feasible allocation regions. An allocation algorithm is provided to find allocations that are both feasible and robust; the robustness as measured by the metric is shown to have theoretical bounds. Experiments demonstrate that the algorithm produces good and scalable performance compared with several heuristic algorithms. (C) 2006 Elsevier Inc. All rights reserved.
Keyword:
real-time system
task allocation
robustness
dynamic environment
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被引数:
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