Analyzing Latency-Aware Self-Adaptation Using Stochastic Games and Simulations

@article{Cmara2016AnalyzingLS,
  title={Analyzing Latency-Aware Self-Adaptation Using Stochastic Games and Simulations},
  author={Javier C{\'a}mara and Gabriel A. Moreno and David Garlan and Bradley R. Schmerl},
  journal={TAAS},
  year={2016},
  volume={10},
  pages={23:1-23:28}
}
Self-adaptive systems must decide which adaptations to apply and when. In reactive approaches, adaptations are chosen and executed after some issue in the system has been detected (e.g., unforeseen attacks or failures). In proactive approaches, predictions are used to prepare the system for some future event (e.g., traffic spikes during holidays). In both cases, the choice of adaptation is based on the estimated impact it will have on the system. Current decision-making approaches assume that… CONTINUE READING
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