State of the Art in Architectures for Self-aware Computing Systems

Giese, Holger; Vogel, Thomas; Diaconescu, Ada; Götz, Sebastian; Bencomo, Nelly; Geihs, Kurt; Kounev, Samuel; Bellman, Kirstie L.

doi:10.1007/978-3-319-47474-8_8

Cited by 10 publications

(13 citation statements)

References 64 publications

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“…Self-Configuration, -Healing, -Optimization, and -Protection Self-Awareness and Context-Awareness However, in contrast to other self-* solutions or AC, a fully self-aware system operates not only reactive but proactive. This means that such a system needs to be able to learn, make conclusions, and act accordingly [51].…”

Section: Self-adaptivenessmentioning

confidence: 99%

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RoSA: A Framework for Modeling Self-Awareness in Cyber-Physical Systems

et al. 2020

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The role of smart and autonomous systems is becoming vital in many areas of industry and society. Expectations from such systems continuously rise and become more ambitious: long lifetime, high reliability, high performance, energy efficiency, and adaptability, particularly in the presence of changing environments. Computational self-awareness promises a comprehensive assessment of the system state for sensible and well-informed actions and resource management. Computational self-awareness concepts can be used in many applications such as automated manufacturing plants, telecommunication systems, autonomous driving, traffic control, smart grids, and wearable health monitoring systems. Developing self-aware systems from scratch for each application is the most common practice currently, but this is highly redundant, inefficient, and uneconomic. Hence, we propose a framework that supports modeling and evaluation of various self-aware concepts in hierarchical agent systems, where agents are made up of self-aware functionalities. This paper presents the Research on Self-Awareness (RoSA) framework and its design principles. In addition, self-aware functionalities abstraction, data reliability, and confidence, which are currently provided by RoSA, are described. Potential use cases of RoSA are discussed. Capabilities of the proposed framework are showcased by case studies from the fields of healthcare and industrial monitoring. We believe that RoSA is capable of serving as a common framework for self-aware modeling and applications and thus helps researchers and engineers in exploring the vast design space of hierarchical agent-based systems with computational self-awareness.

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Section: Self-adaptivenessmentioning

confidence: 99%

“…There exist several reference architectures which concern systems related to CSA [51]. One of them is the MAPE-K loop (an autonomic control loop coming from the AC field [42], [44])), which stands for Monitor, Analyze, Plan, Execute, and Knowledge.…”

Section: Reference Architectures For Self-awarenessmentioning

confidence: 99%

RoSA: A Framework for Modeling Self-Awareness in Cyber-Physical Systems

et al. 2020

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“…Giese et al reviewed self-aware computing systems, focusing on reference architectures and architectural frameworks for building so ware systems that have similarities with computing systems [18]. Mahdavi-Hezavehi et al [31] performed an SLR on methods for architecture-based self-adaptive systems.…”

Section: Related Reviewsmentioning

confidence: 99%

Self-awareness in Software Engineering

Elhabbash

Salama

Bahsoon

et al. 2019

ACM Trans. Auton. Adapt. Syst.

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Background: Self-awareness has been recently receiving a ention in computing systems for enriching autonomous so ware systems operating in dynamic environments. Objective: We aim to investigate the adoption of computational self-awareness concepts in autonomic so ware systems, and motivate future research directions on self-awareness and related problems. Method: We conducted a systemic literature review to compile the studies related to the adoption of self-awareness in so ware engineering and explore how self-awareness is engineered and incorporated in so ware systems. From 865 studies, 74 studies have been selected as primary studies. We have analysed the studies from multiple perspectives, such as motivation, inspiration, and engineering approaches, among others. Results: Results have shown that self-awareness has been used to enable self-adaptation in systems that exhibit uncertain and dynamic behaviour. ough the recent a empts to de ne and engineer self-awareness in so ware engineering, there is no consensus on the de nition of self-awareness. Also, the distinction between self-aware and self-adaptive systems has not been systematically treated. Conclusions: Our survey reveals that self-awareness for so ware systems is still a formative eld and that there is growing a ention to incorporate self-awareness for be er reasoning about the adaptation decision in autonomic systems. Many pending issues and open problems, outlining possible research directions. CCS Concepts: •General and reference → Surveys and overviews; General literature; •Social and professional topics → So ware selection and adaptation; •So ware and its engineering → So ware con guration management and version control systems;

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“…[14]). These concepts have been most recently surveyed and classified by Giese et al [27], [28], who describe self-aware computing as a "paradigm shift from a reactive to a proactive operation that integrates the ability to learn, reason, and act at runtime [based on models]" [27].…”

Section: Related Workmentioning

confidence: 99%

Self-Aware Scheduling for Mixed-Criticality Component-Based Systems

Schlatow

Mostl

Ernst

2019

2019 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)

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A basic mixed-criticality requirement in real-time systems is temporal isolation, which ensures that applications receive a guaranteed (CPU) service and impose a bounded interference on other applications. Providing operating system support for temporal isolation is often inefficient, in terms of utilisation and achieved latencies, or complex and hard to implement or model correctly. Correct models are, however, a prerequisite when response times are bounded by formal analyses. We provide a novel approach to this challenge by applying self-aware computing methodologies that involve runtime monitoring to detect (and correct) model deviations of a budget-based scheduler.

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State of the Art in Architectures for Self-aware Computing Systems

Cited by 10 publications

References 64 publications

RoSA: A Framework for Modeling Self-Awareness in Cyber-Physical Systems

RoSA: A Framework for Modeling Self-Awareness in Cyber-Physical Systems

Self-awareness in Software Engineering

Self-Aware Scheduling for Mixed-Criticality Component-Based Systems

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