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		<title>Reducing Tactic Latency Uncertainty for Self-Adaptive Systems</title>
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	<h1 align="center" style="font-family:Arial">Reducing Tactic Latency Uncertainty for Self-Adaptive Systems</h1>
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	Tactic latency is the time between when a tactic is started and when its effect is produced. Fortunately, many self-adaptive techniques are beginning to account for latency in their decision-making process. These adaptation processes consider tactic latency to be a static, human defined value. Unfortunately, many tactics have a volatile latency value; one that may be constantly changing. In this work, we present a Latency Volatility Aware (LVA) adaptation process. We achieved positive results evaluating LVA in several environments against a baseline process that only considers static latency values. We found that accounting for latency volatility can have a positive impact on the adaptation decision process, specifically by making the system more resilient to large variations in tactic latency. To support the evaluation of LVA, we created <i>TacSim</i>, a tool which enables us to quickly simulate multiple adaptation decisions while accounting for uncertainty in tactic latency. This paper advances the self-adaptive decision-making process by reducing tactic latency uncertainty. Our discoveries can serve as a foundation for future work in reducing uncertainty through understanding and accounting for tactic latency volatility.
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