Distributed Digital Twin Migration in Multi-Tier Computing Systems

At the network edges, the multi-tier computing framework provides mobile users with efficient cloud-like computing and signal processing capabilities. Deploying digital twins in the multi-tier computing system helps to realize ultra-reliable and low-latency interactions between users and their virtu...

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Veröffentlicht in:	IEEE journal of selected topics in signal processing Jg. 18; H. 1; S. 109 - 123
Hauptverfasser:	Chen, Zhixiong, Yi, Wenqiang, Nallanathan, Arumugam, Chambers, Jonathon A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Cloud computing Computational modeling Convexity Data models Decoupling Digital twin migration Digital twins Edge computing Machine learning Markov processes Mobile computing multi-agent reinforcement learning Multi-agent systems multi-tier computing Multiagent systems Reagents Real-time systems Reinforcement learning Resource management Servers Synchronization Time synchronization
ISSN:	1932-4553, 1941-0484
Online-Zugang:	Volltext
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