基于蚁群优化与准实时密钥池的生存性虚拟网络映射方法
A Method of Ant Colony Optimization and Quasi-Real-Time Key Pool Based on Survivability Virtual Network Embedding
- 电子学报 2025年53卷第9期 页码：3425-3432
- 作者机构：
1.重庆邮电大学通信与信息工程学院，重庆 400065
2.重庆工程学院，重庆 400056
- 作者简介：
[ "刘焕淋 女，1970年2月出生于重庆.重庆邮电大学教授、博士和硕士生导师.主要研究方向为光通信技术和网络. E-mail: liuhl@cqupt.edu.cn" ]
[ "刘博 男，2000年6月出生于四川内江.重庆邮电大学硕士研究生.主要研究方向为光网络资源分配. E-mail: 2499109944@qq.com" ]
[ "陈勇 男，1963年7月出生于重庆.重庆工程学院教授、硕士生导师.主要研究方向为自动控制和光信号处理. E-mail: chenyong@cqupt.edu.cn" ]
[ "马 冰 女，2022年8出生于河南叶县.重庆邮电大学硕士研究生.主要研究方向为光网络资源分配.E-mail: 2385934401@qq.com" ]
[ "邱 艳 女，1998年10出生于四川仪陇.重庆邮电大学硕士研究生.主要研究方向为光网络资源分配.E-mail: 2311925484@qq.com" ]
[ "陈浩楠 男，1996年11出生于重庆.重庆邮电大学硕士研究生.主要研究方向为光通信.E-mail: 1412875479@qq.com" ]
- 基金信息：国家自然科学基金(51977021);重庆市自然科学基金(CSTB2023NSCQ-MSX0734)
DOI：10.12263/DZXB.20240963
中图分类号： TN929.11;收稿：2024-10-22，
录用：2025-06-24，
纸质出版：2025-09-25
- 稿件说明：
移动端阅览
刘焕淋, 刘博, 陈勇, 等. 基于蚁群优化与准实时密钥池的生存性虚拟网络映射方法[J]. 电子学报, 2025, 53(09): 3425-3432.
LIU Huan-lin, LIU Bo, CHEN Yong, et al. A Method of Ant Colony Optimization and Quasi-Real-Time Key Pool Based on Survivability Virtual Network Embedding[J]. Acta Electronica Sinica, 2025, 53(09): 3425-3432.
刘焕淋, 刘博, 陈勇, 等. 基于蚁群优化与准实时密钥池的生存性虚拟网络映射方法[J]. 电子学报, 2025, 53(09): 3425-3432. DOI：10.12263/DZXB.20240963
LIU Huan-lin, LIU Bo, CHEN Yong, et al. A Method of Ant Colony Optimization and Quasi-Real-Time Key Pool Based on Survivability Virtual Network Embedding[J]. Acta Electronica Sinica, 2025, 53(09): 3425-3432. DOI：10.12263/DZXB.20240963
摘要
为增强弹性光网络的区域故障场景下虚拟网络映射的安全性与抗灾难性，本文提出基于蚁群优化与准实时密钥池的生存性虚拟网络映射（Ant Colony Optimization and Quasi-real-time Key Pool based on Survivability Virtual Network Embedding，ACOQKP-SVNE）方法.为降低密文传输路径潜在风险程度，设计基于蚁群优化的密文传输路径映射策略，为提高密钥利用率，设计基于准实时密钥池的量子密钥分发路径映射策略；当区域故障发生时，采用基于不同物理组件的受损感知故障恢复策略对受影响的物理组件进行重映射.仿真结果表明，与对比算法相比，所提ACOQKP-SVNE的带宽阻塞率最高可降低约为16%.
Abstract
To enhance the security and anti-calamity of virtual network embedding (VNE) for multi-area faults scenarios in elastic optical networks
a method of ant colony optimization and quasi-real-time key pool based on survivability VNE (ACOQKP-SVNE) is proposed. A strategy of ciphertext data transmission path embedding based on ant colony optimization is designed to reduce the degree of the potential risk of the ciphertext transmission path
and the strategy of quantum key distribution path embedding based on quasi-real-time key pool construction to improve the key utilization. When the multi-area failure occurs
the affected physical components are recovered by using the strategy of damage-aware failure recovery based on different physical components. Simulation results show that compared with comparative algorithms
the proposed ACOQKP-SVNE algorithm can reduce the bandwidth blocking probability by up to about 16%.
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references
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