Pri-AwaRE: Tool Support for priority-aware decision-making under uncertainty
Pri-AwaRE: Tool Support for priority-aware decision-making under uncertainty
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Pri-AwaRE：不确定性下优先级感知决策的工具支持
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
P. Sawyer
中科院分区：
文献类型：
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作者：
Huma Samin;Nelly Bencomo;P. Sawyer
自适应系统（SAS）决策的主要目标是在环境不确定的情况下不断满足其需求。随着运行时上下文的变化，系统可能需要通过基于非功能需求（NFR）的各个优先级进行权衡来重新配置自身。我们证明了Pri-AwaRE作为一种方法，通过提供显式的运行时建模和推理的NFR的个人优先级，以支持优先级感知决策在SAS。该方法还支持在动态情况下自主调整优先级，以保持所需的NFR满意度。在本文中，我们展示了如何使用Pri-AwaRE在一个重要的工业案例中的远程镜像使用一个仿真工具，称为RDMSim。我们的研究结果表明，Pri-AwaRE提供了所需的满意度水平的NFRs的自主调整NFRs的优先级，根据新的运行时环境上下文。
The main objective of decision-making in a self-adaptive system (SAS) is to continuously satisfy its requirements under environmental uncertainty. As the run-time context changes, the system may need to re-configure itself by making trade-offs between the non-functional requirements (NFRs) based on their individual priorities for satisfaction. We demonstrate Pri-AwaRE as an approach to support priority-aware decision-making in SASs by providing explicit runtime modelling and reasoning of individual priorities of NFRs. The approach also supports autonomous tuning of the priorities under dynamic situations to maintain the required satisfaction levels of NFRs. In this paper, we showcase how Pri-AwaRE is used in a substantial industrial case of Remote Mirroring using a simulation tool called RDMSim. Our results show that Pri-AwaRE offers the required satisfaction levels of NFRs by autonomously tuning of NFRs’ priorities according to new runtime environmental contexts.