The Vision of Self-Aware Performance Models
The Vision of Self-Aware Performance Models
复制标题
自我意识绩效模型的愿景
DOI：
10.1109/icsa-c.2018.00024
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Samuel Kounev
中科院分区：
文献类型：
--
作者：
Johannes Grohmann;Simon Eismann;Samuel Kounev
性能模型是自我感知计算系统的必要组成部分，因为它们允许这样的系统对它们自己的状态和行为进行推理。在这一领域的研究已经开发了多种方法来创建，维护和解决性能模型。在本文中，我们提出了一个元自我意识的计算方法，使模型的创建，维护和解决方案的过程中自我意识。这使得软件性能工程方法的自动选择和调整，特别是针对正在研究的系统。
Performance models are necessary components of self-aware computing systems, as they allow such systems to reason about their own state and behavior. Research in this field has developed a multitude of approaches to create, maintain, and solve performance models. In this paper, we propose a meta-self-aware computing approach making the processes of model creation, maintenance and solution themselves self-aware. This enables the automated selection and adaption of software performance engineering approaches specifically tailored to the system under study.