Optimized Task Scheduling and Virtual Object Management Based on Digital Twin for Distributed Edge Computing Networks

In this paper, we address the challenge of limited resources in Internet of Things (IoT) devices by proposing a solution based on digital twin in distributed edge computing networks. Edge computing is a promising approach that moves computing resources closer to the network's edge to reduce res...

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Veröffentlicht in:	IEEE access Jg. 11; S. 1
Hauptverfasser:	Xu, Rongxu, Park, Chan-Won, Khan, Salabat, Jin, Wenquan, Moe, Sa Jim Soe, Kim, Do Hyeun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Applications programs Computation offloading Computer networks Data collection Digital Twin Digital twins Edge computing Federated learning Graphical user interface hyper-parameter optimization Indoor environments Internet of Things Logic gates Network latency Optimization Predicted Mean Vote index Predictions Processor scheduling Scheduling Smart buildings Synchronism Task analysis Task Management Task scheduling Thermal comfort
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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