Spectrum fragmentation-aware dynamic network slicing deployment in computing power networks based on elastic optical networks

Laiming Wang; Haojie Zhang; Lei Li; Danping Ren; Jinhua Hu; Jijun Zhao

doi:10.1515/joc-2024-0023

Article

Spectrum fragmentation-aware dynamic network slicing deployment in computing power networks based on elastic optical networks

Laiming Wang , Haojie Zhang , Lei Li , Danping Ren , Jinhua Hu and Jijun Zhao

Published/Copyright: March 12, 2024

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From the journal Journal of Optical Communications Volume 46 Issue 2

Abstract

The widespread application of AI with high computing requirements has driven the rapid development of the computing field. Computing Power Networks (CPNs) have been recognized as solutions to providing on-demand computing services, and its service provisioning can be modeled as a network slicing deployment problem. Elastic Optical Networks (EONs) offer the flexibility to allocate spectrum resources, making them well-suited for network slicing technology. Consequently, EON-based CPNs have attracted considerable attention. However, the unbalanced distribution of computing resources leads to inefficient computing resource utilization. Meanwhile, spectrum resources may be isolated and difficult for other services. This phenomenon is known as spectrum fragmentation, leading to inefficient spectrum resource utilization. To achieve balanced and efficient resource utilization, this paper first analyzes the main reasons for load unbalance and spectrum fragmentation in CPNs: mismatched slicing deployment and inappropriate resource scheduling. Therefore, a dynamic network slicing scheme based on traffic prediction (DNS-TP) is designed. Its core highlight is cooperative optimization slicing deployment and resource scheduling based on spectrum fragmentation awareness. Simulation results show that the proposed scheme enhances the network slicing acceptance ratio, computing and spectrum resource utilization while exhibiting strong performance in resource balancing.

Keywords: computing power networks; elastic optical networks; network slicing; resource allocation; load balancing; traffic prediction

Corresponding author: Danping Ren, School of Information and Electrical Engineering, Hebei University of Engineering, Handan, 056038, China; and Hebei Key Laboratory of Security and Protection Information Sensing and Processing, Handan, 056038, China, E-mail: rendanping@hebeu.edu.cn

Funding source: Natural Science Foundation of Hebei Province

Award Identifier / Grant number: F2021402005

Funding source: National Natural Science Foundation of China

Award Identifier / Grant number: 62101174

Acknowledgments

This work was supported in part by the National Natural Science Foundation of China under Grant 62101174, in part by the Natural Science Foundation of Hebei Province under Grant F2021402005.

Research ethics: Note that no conflict of interest exits in the submission of this manuscript, and manuscript is approved by all authors for publication. I would like to declare on behalf of my co-authors that the described work in manuscript was original research, which has not been published previously, and not under consideration for publication elsewhere, in whole or in part. All the authors listed have approved the manuscript that is enclosed.
Author contributions: The author have accepted responsibility for the entire content of this manuscript and approved its submission.
Competing interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. All other authors state no conflict of interest.
Research funding: This work was supported in part by the National Natural Science Foundation of China under Grant 62101174, in part by the Natural Science Foundation of Hebei Province under Grant F2021402005.
Data availability: The raw data can be obtained on request from the corresponding author.

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Received: 2024-01-17

Accepted: 2024-02-21

Published Online: 2024-03-12

Published in Print: 2025-04-28

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Articles in the same Issue

https://doi.org/10.1515/joc-2024-0023

Keywords for this article

computing power networks; elastic optical networks; network slicing; resource allocation; load balancing; traffic prediction