Chaos Engineering for Resilience Assessment of Digital Twins
Author:
Affiliation:
1. Department of Engineering, University of Ferrara, Ferrara, Italy
2. Department of Mathematics and Computer Science, University of Ferrara, Ferrara, Italy
Funder
FutureHPC & BigData
MUR Missione 4 - Next Generation EU
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10411967/10091206.pdf?arnumber=10091206
Reference35 articles.
1. Digital twin: Manufacturing excellence through virtual factory replication;Grieves,2014
2. Digital Twin in Industry: State-of-the-Art
3. Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models
4. Digital Twin in manufacturing: A categorical literature review and classification
5. Digital-Twin-Based Job Shop Scheduling Toward Smart Manufacturing
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1. Exploiting microservices and serverless for Digital Twins in the cloud-to-edge continuum;Future Generation Computer Systems;2024-08
2. KubeTwin: A Digital Twin Framework for Kubernetes Deployments at Scale;IEEE Transactions on Network and Service Management;2024-08
3. Virtual testbed for development and evaluation of power system digital twins and their applications;Sustainable Energy, Grids and Networks;2024-06
4. The Evolution of Kubernetes Management: Introducing the KubeTwin Framework;NOMS 2024-2024 IEEE Network Operations and Management Symposium;2024-05-06
5. ODTE: A Metric for Digital Twin Entanglement;IEEE Open Journal of the Communications Society;2024
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