scholarly journals Virtual Network Provisioning over Mixed-Fixed/Flexible-Grid Optical Infrastructures

Electronics ◽  
2021 ◽  
Vol 10 (17) ◽  
pp. 2067
Author(s):  
Xiaosong Yu ◽  
Lu Lu ◽  
Yongli Zhao ◽  
Feng Wang ◽  
Avishek Nag ◽  
...  

With the emergence of cloud services based on data centers, demands for bandwidth-intensive applications have increased dramatically, and application services have transferred to a more diversified direction. Management as well as capacity of the backbone network needs further development to catch up with rapidly evolved application demands. Optical network virtualization can facilitate the sharing of physical infrastructure among multiple network applications. Virtual Network Embedding (VNE), the main implementation of network virtualization, determines how to map a virtual network request onto physical substrate. To expand the network capacity, flexible-grid elastic optical networks have been considered as a promising supporting technology for the future infrastructure of the next-generation Internet. However, due to the expense of key enabling equipment for flexible grid optical networks, the brown-field migration from a fixed grid to a flexible grid gave birth to the co-existing fixed/flexible grid. Based on the co-existing fixed/flexible grid optical networks, we investigate the problem of Virtual Optical Network (VON) provisioning, and present a flexible-grid-aware virtual network embedding algorithm to map the virtual networks onto the substrate network. In addition, the performance of the algorithm was evaluated under four different network scenarios. Simulation results show that the proposed algorithm can achieve better performance in all four scenarios.

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2655 ◽  
Author(s):  
Yue Zong ◽  
Chuan Feng ◽  
Yingying Guan ◽  
Yejun Liu ◽  
Lei Guo

The emerging 5G applications and the connectivity of billions of devices have driven the investigation of multi-domain heterogeneous converged optical networks. To support emerging applications with their diverse quality of service requirements, network slicing has been proposed as a promising technology. Network virtualization is an enabler for network slicing, where the physical network can be partitioned into different configurable slices in the multi-domain heterogeneous converged optical networks. An efficient resource allocation mechanism for multiple virtual networks in network virtualization is one of the main challenges referred as virtual network embedding (VNE). This paper is a survey on the state-of-the-art works for the VNE problem towards multi-domain heterogeneous converged optical networks, providing the discussion on future research issues and challenges. In this paper, we describe VNE in multi-domain heterogeneous converged optical networks with enabling network orchestration technologies and analyze the literature about VNE algorithms with various network considerations for each network domain. The basic VNE problem with various motivations and performance metrics for general scenarios is discussed. A VNE algorithm taxonomy is presented and discussed by classifying the major VNE algorithms into three categories according to existing literature. We analyze and compare the attributes of algorithms such as node and link embedding methods, objectives, and network architecture, which can give a selection or baseline for future work of VNE. Finally, we explore some broader perspectives in future research issues and challenges on 5G scenario, field trail deployment, and machine learning-based algorithms.


2017 ◽  
Vol 26 (1) ◽  
pp. 79-107 ◽  
Author(s):  
Min Feng ◽  
Jianxin Liao ◽  
Sude Qing ◽  
Tonghong Li ◽  
Jingyu Wang

2018 ◽  
Vol 26 (8) ◽  
pp. 10898 ◽  
Author(s):  
Rongping Lin ◽  
Shan Luo ◽  
Jingwei Zhou ◽  
Sheng Wang ◽  
Bin Chen ◽  
...  

2019 ◽  
Vol E102.D (6) ◽  
pp. 1206-1209
Author(s):  
Wenting WEI ◽  
Kun WANG ◽  
Gu BAN ◽  
Keming FENG ◽  
Xuan WANG ◽  
...  

2014 ◽  
Vol 23 (11) ◽  
pp. 3045-3058 ◽  
Author(s):  
Su-De QING ◽  
Jian-Xin LIAO ◽  
Xiao-Min ZHU ◽  
Jing-Yu WANG ◽  
Qi QI

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