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The Robustness of Periodic Orchestrations in Uncertain Evolving Environments

机译:不确定的不确定环境中定期调节的鲁棒性

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A framework for assessing the robustness of long-duration repetitive orchestrations in uncertain evolving environments is proposed. The model assumes that service-based evaluation environments are stable over short time-frames only; over longer periods service-based environments evolve as demand fluctuates and contention for shared resources varies. The behaviour of a short-duration orchestration E in a stable environment is assessed by an uncertainty profile u and a corresponding zero-sum angel-daemon game Γ(u) [2]. Here the angel-daemon approach is extended to assess evolving environments by means of a subfamily of stochastic games. These games are called strategy oblivious because their transition probabilities are strategy independent. It is shown that the value of a strategy oblivious stochastic game is well defined and that it can be computed by solving a linear system. Finally, the proposed stochastic framework is used to assess the evolution of the Gabrmn IT system.
机译:提出了一种评估不确定的不确定环境中的长期重复调节稳健性的框架。该模型假设仅基于服务的评估环境在短时间帧上稳定;随着需求波动和共享资源的需求波动和争用,超过较长的时间。通过不确定的简档U和相应的零级天使 - 守护程序游戏γ(u)[2]评估短持续环境中的短持续环境中的行为。在这里,Angel-Daemon方法延长了通过随机游戏的子家族评估不断变化的环境。这些游戏被称为策略忘记,因为他们的过渡概率是独立的战略。结果表明,策略令人沮丧的随机游戏的值很好地定义,并且可以通过求解线性系统来计算它。最后,拟议的随机框架用于评估GABRMN IT系统的演变。

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