Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)

Positive Analysis and Exploration of Green Economic Model and Smart Management on Economic Progress in the Context of Big Data

Authors
Linghao Wang1, *
1School of Economics, Wuhan University of Technology, Hubei, China
*Corresponding author. Email: 416342296@qq.com
Corresponding Author
Linghao Wang
Available Online 26 July 2023.
DOI
10.2991/978-94-6463-200-2_141How to use a DOI?
Keywords
Big data; Green economy; Intelligent management; Network Virtualization
Abstract

In recent years, our government has frequently mentioned the need to do a solid job of carbon peaking and carbon neutral work, in this context, it is particularly important to adhere to the concept of low-carbon green. Standing at the starting point of the new era, green development has become an important trend. The introduction of this concept not only helps to solve the problem of harmonious coexistence between man and nature, but also applies the concept of green development to all aspects of human life, which is conducive to the construction of a resource-saving and environment-friendly society, thus enabling the harmonious development of economy, society, and ecological environment. For a long time, as China’s economy continues to grow and people’s wealth continues to increase, the ecological environment has been damaged, which has seriously hindered the coordinated development of economy and environment in China, especially in resource-based regions. In recent years, the diversification of customer needs and the explosive growth of data traffic have made it difficult for traditional network frameworks and technologies to meet the current network environment. Therefore, network virtualization and resilient optical inter-data center networks were created to better support customer business needs. Network virtualization enables dynamic allocation and management of resources in the network by enabling multiple independent coexisting heterogeneous virtual networks to share the underlying physical resources, greatly increasing network resource utilization. Resilient optical data center interconnection network with high speed, high capacity, variable granularity, scalability, and other characteristics can well meet the requirements of the new generation of transmission network.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
26 July 2023
ISBN
10.2991/978-94-6463-200-2_141
ISSN
2589-4919
DOI
10.2991/978-94-6463-200-2_141How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Linghao Wang
PY  - 2023
DA  - 2023/07/26
TI  - Positive Analysis and Exploration of Green Economic Model and Smart Management on Economic Progress in the Context of Big Data
BT  - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
PB  - Atlantis Press
SP  - 1314
EP  - 1319
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-200-2_141
DO  - 10.2991/978-94-6463-200-2_141
ID  - Wang2023
ER  -