.png){kind=icon}
返回
Approximately Lossless Model Compression-Based Multilayer Virtual Network Embedding for Edge-Cloud Collaborative Services
.png){kind=icon}
PRE
AI
DOI：10.1109/JIOT.2023.3259380.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Edge-cloud collaboration integrated with network virtualization is indispensable for diversified edge services. Meanwhile, the multilayer elastic optical network (ML-EON) is a promising underlying network for virtual network requests (VNRs) customized for edge-cloud collaborative services. However, the joint allocation of computing resources and high-dimensional ML-EON resources in virtual network embedding (VNE) will pose great computational complexity for online service deployment. In this article, we propose an approximately lossless model compression mechanism to ease the computing burden of the VNE over ML-EON for edge-cloud collaborative services. An integer quadratic constraint programming (IQCP) model is established for the problem. Model compression based on virtual link mapping cost estimation (VLMCE) is investigated to shield the variables and constraints related to ML-EON. In particular, the resource metric and topology metric are introduced into VLMCE to cope with resource contentions among virtual links in the same VNR, and improve estimation accuracy. The model solving relies on Hopfield neural network (HNN) is further studied, where optimizing the compressed model is losslessly converted to minimizing the energy function of HNN. The experimental results reveal that the proposed mechanism guarantees an approximately lossless algorithm performance and a high-time efficiency compared with the original IQCP model. The performances of VNR cost and blocking ratio are also promoted compared with the benchmarks.
Keyword:
Edge-cloud collaboration
elastic optical networks (EONs)
Hopfield neural network (HNN)
virtual network embedding (VNE)
期刊
IF:
8.9
论文数:
1.4W
被引数:
7.8W
机构
引用论文
.png){kind=icon}
分享收藏Generalized Cauchy Theorem in Clifford Analysis and Boundary Value Problems for Regular Functions
PREAI
分享收藏分享收藏
分享收藏Mid-Infrared Integrated Optical Parametric Generators and Oscillators with Periodically Poled Ti:LiNbO3 Waveguides基于周期性极化Ti:LiNbO3波导的中红外集成光学参量振荡器和发生器
PREAI
分享收藏
查看更多内容