Digital Twin-Driven Network Architecture for Video Streaming

Fuente: arXiv
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Autori principali: Huang, Xinyu, Yang, Haojun, Hu, Shisheng, Shen, Xuemin
Natura: Preprint
Pubblicazione: 2023
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author Huang, Xinyu
Yang, Haojun
Hu, Shisheng
Shen, Xuemin
author_facet Huang, Xinyu
Yang, Haojun
Hu, Shisheng
Shen, Xuemin
contents Digital twin (DT) is revolutionizing the emerging video streaming services through tailored network management. By integrating diverse advanced communication technologies, DTs are promised to construct a holistic virtualized network for better network management performance. To this end, we develop a DT-driven network architecture for video streaming (DTN4VS) to enable network virtualization and tailored network management. With the architecture, various types of DTs can characterize physical entities' status, separate the network management functions from the network controller, and empower the functions with emulated data and tailored strategies. To further enhance network management performance, three potential approaches are proposed, i.e., domain data exploitation, performance evaluation, and adaptive DT model update. We present a case study pertaining to DT-assisted network slicing for short video streaming, followed by some open research issues for DTN4VS.
format Preprint
id arxiv_https___arxiv_org_abs_2310_19079
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Digital Twin-Driven Network Architecture for Video Streaming
Huang, Xinyu
Yang, Haojun
Hu, Shisheng
Shen, Xuemin
Networking and Internet Architecture
Digital twin (DT) is revolutionizing the emerging video streaming services through tailored network management. By integrating diverse advanced communication technologies, DTs are promised to construct a holistic virtualized network for better network management performance. To this end, we develop a DT-driven network architecture for video streaming (DTN4VS) to enable network virtualization and tailored network management. With the architecture, various types of DTs can characterize physical entities' status, separate the network management functions from the network controller, and empower the functions with emulated data and tailored strategies. To further enhance network management performance, three potential approaches are proposed, i.e., domain data exploitation, performance evaluation, and adaptive DT model update. We present a case study pertaining to DT-assisted network slicing for short video streaming, followed by some open research issues for DTN4VS.
title Digital Twin-Driven Network Architecture for Video Streaming
topic Networking and Internet Architecture
url https://arxiv.org/abs/2310.19079