Integration Of The Mape-K Loop In Digital Twins

Feng, Hao; Gomes, Cláudio; Gil, Santiago; Mikkelsen, Peter Høgh; Tola, Daniella; Larsen, Peter Gorm; Sandberg, Michael

doi:10.23919/annsim55834.2022.9859489

Cited by 19 publications

(6 citation statements)

References 20 publications

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“…An important aspect to be analyzed when discussing the theory‐to‐practice transition of DTs is the orchestration of services 51 . DTs usually need the orchestration of multiple components, including models, enablers, and usages, that is, the DT constellation .…”

Section: Discussionmentioning

confidence: 99%

“…To further analyze the selected five frameworks for the case study approach, we compare each of the implementations with the Incubator DT, 24,51 which is available at https://github.com/INTO-CPS-Association/example_digital-twin_incubator. This DT is designed in such a way that all the models, tools, and services are specifically focused on the incubator case study using a service-oriented architecture.…”

Section: Comparison To the Incubator Digital Twinmentioning

confidence: 99%

“…An important aspect to be analyzed when discussing the theory-to-practice transition of DTs is the orchestration of services. 51 DTs usually need the orchestration of multiple components, including models, enablers, and usages, that is, the DT constellation. A DT constellation can be difficult to set up from scratch, especially when the DTs are designed via composition to enable reusability.…”

Section: From Theory To Practicementioning

confidence: 99%

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Survey on open‐source digital twin frameworks–A case study approach

Gil,

Mikkelsen,

Gomes

et al. 2024

Softw Pract Exp

Self Cite

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Digital twin (DT) technology has been a topic with academic and industrial coverage in recent years. DTs are intended to be a virtual high‐fidelity representation of a physical counterpart. Its complex nature requires several components to create and run a DT, and that is why many DT frameworks have been proposed in the literature. There are also many surveys of DTs, but none that is bottom‐up with concrete examples and focused on open‐source software. This survey analyzes 14 open‐source DT frameworks in 10 different dimensions, which are then categorized in six different groups according to their modeling and technological domain, to present the reader different options for creating and managing DT applications, and to understand potential combinations, uses, and limitations of the tools. It also presents a case study with five of the explored DT frameworks, describing the process on how the DT is set up and comparing their capabilities based on the services to be provided by the DT. Finally, it discusses advantages and limitations of the tools according to domain, requirements, and scope, relevant aspects regarding built‐in simulations and data analytics, theory‐to‐practice transition, and advantages/disadvantages of using open‐source software instead of commercial. Main limitations of the study due to its narrow niche, conclusions, and opportunities for future research regarding the potential room for improvement in terms of out‐of‐the‐box features and services for DTs, are also shown.

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Section: Discussionmentioning

confidence: 99%

Section: Comparison To the Incubator Digital Twinmentioning

confidence: 99%

Section: From Theory To Practicementioning

confidence: 99%

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Survey on open‐source digital twin frameworks–A case study approach

Gil,

Mikkelsen,

Gomes

et al. 2024

Softw Pract Exp

Self Cite

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“…An effective approach to deal with highly changing operational conditions of complex and dynamic software systems is represented by the MAPE-K feedback loop of AC, which has been recently associated with DTs [11], [23], [24]. It includes four computation stages, namely Monitor-Analyze-Plan-Execute over a shared Knowledge, which enables selfadaptation to runtime conditions.…”

Section: A Integration Of Autonomic Computing In Digital Twinsmentioning

confidence: 99%

Digital Twins for Anomaly Detection in the Industrial Internet of Things: Conceptual Architecture and Proof-of-Concept

Benedictis

Flammini

Mazzocca

et al. 2023

IEEE Trans. Ind. Inf.

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Modern cyber-physical systems based on the Industrial Internet of Things (IIoT) can be highly distributed and heterogeneous, and that increases the risk of failures due to misbehavior of interconnected components, or other interaction anomalies. In this paper, we introduce a conceptual architecture for IIoT anomaly detection based on the paradigms of Digital Twins (DT) and Autonomic Computing (AC), and we test it through a proof-of-concept of industrial relevance. The architecture is derived from the current state-of-the-art in DT research and leverages on the MAPE-K feedback loop of AC in order to monitor, analyze, plan, and execute appropriate reconfiguration or mitigation strategies based on the detected deviation from prescriptive behavior stored as shared knowledge. We demonstrate the approach and discuss results by using a reference operational scenario of adequate complexity and criticality within the European Railway Traffic Management System.

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“…Formal verification of MAPE-K loops have been also explored from the perspective of use cases. Feng et al [36] adapts a case study for DT engineering to verify MAPE-K feedback loops and Päßler et al [37] develops a formal model of Metacontrol [38] for the heating system of a smart home that considers MAPE-K loops and self-adaptation using a black box approach. Compared to the work presented in this paper, all the previous approaches focuses on the behavioural aspect of self-adaptation, and not on the structural aspect as discussed in this paper.…”

Section: Related Workmentioning

confidence: 99%

Twinning-by-Construction: Ensuring Correctness for Self-adaptive Digital Twins

Kamburjan

Din

Schlatte

et al. 2022

Lecture Notes in Computer Science

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Digital twin applications use digital artefacts to twin physical systems. The purpose is to continuously mirror the structure and behavior of the physical system, such that users can analyse the physical system by means of the digital twin. However, the physical system might change over time. In this case, the digital twin's ensemble of digital artefacts needs to be reconfigured to correctly twin the physical system again. This paper considers a digital twin infrastructure combining MAPE-K feedback loops and semantic reflection to automatically ensure that the digital artefacts correctly twin the physical system; i.e., the resulting system is twinned-by-construction. We consider the monitoring of both structural and temporal correctness properties for digital twin, including the time delay required by reconfiguration, and the capture of execution traces to reflect digital threads in the digital twin framework.

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Integration Of The Mape-K Loop In Digital Twins

Cited by 19 publications

References 20 publications

Survey on open‐source digital twin frameworks–A case study approach

Survey on open‐source digital twin frameworks–A case study approach

Digital Twins for Anomaly Detection in the Industrial Internet of Things: Conceptual Architecture and Proof-of-Concept

Twinning-by-Construction: Ensuring Correctness for Self-adaptive Digital Twins

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