Architectural Concepts for Self-aware Computing Systems
Architectural Concepts for Self-aware Computing Systems
复制标题
自我意识计算系统的架构概念
DOI：
10.1007/978-3-319-47474-8_5
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Samuel Kounev
中科院分区：
文献类型：
--
作者：
H. Giese;T. Vogel;A. Diaconescu;Sebastian Götz;Samuel Kounev
计算系统中的自我意识是通过实现基于模型的学习、推理和行动循环(LRA-M循环)来实现的。类似于自适应软件的反馈环，我们认为LRA-M环应该在自感知计算系统的体系结构设计中得到解决。这使得工程师可以明确地决定和推理系统的自我意识能力。因此，本章介绍了相关的架构概念，以解决并使LRA-M环路在架构设计中可见。基于这些概念，我们讨论了上下文意识、自我意识和元自我意识是如何在体系结构中显现的。最后，我们将介绍的体系结构概念与前几章中介绍的自我感知计算系统的定义和框架相关联。
Self-awareness in a computing system is achieved by implementing a model-based learning, reasoning, and acting loop (LRA-M loop). Similar to the feedback loops for self-adaptive software, we argue that the LRA-M loop should be addressed during the architectural design of self-aware computing systems. This allows engineers to explicitly decide and reason about the system’s self-awareness capabilities. This chapter, therefore, introduces the relevant architectural concepts to address and make the LRA-M loop visible in the architectural design. Based on these concepts, we discuss how context-awareness, self-awareness, and meta-self-awareness become manifest in an architecture. Finally, we relate the presented architectural concepts to the definition and framework for self-aware computing systems introduced in the previous chapters.
影响因子：
7.4
作者：
Calinescu, Radu;Grunske, Lars;Tamburrelli, Giordano
通讯作者：
Tamburrelli, Giordano