Abstract
Mobile edge computing is a promising solution for analysing and processing a portion of data using the computing, storage, and network resources distributed on the paths between data sources and a cloud computing centre. Mobile edge computing thus provides high efficiency, low latency, and privacy protection to sustain digital twin. In this chapter, we first introduce a hierarchical architecture of digital twin edge networks that consists of a virtual plane and a user/physical plane. We then introduce the key communication and computation technologies in the digital twin edge networks and present two typical cooperative computation modes. Moreover, we present the role of artificial intelligence (AI) for digital twin edge networks, and discuss the unique edge association problem.
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Zhang, Y. (2024). Edge Computing for Digital Twin. In: Digital Twin. Simula SpringerBriefs on Computing, vol 16. Springer, Cham. https://doi.org/10.1007/978-3-031-51819-5_4
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DOI: https://doi.org/10.1007/978-3-031-51819-5_4
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Publisher Name: Springer, Cham
Print ISBN: 978-3-031-51818-8
Online ISBN: 978-3-031-51819-5
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