A multi-domain virtual network embedding algorithm with delay prediction

TL;DR

This paper introduces a multi-domain virtual network embedding algorithm that leverages delay prediction and particle swarm optimization to significantly reduce system delay in network virtualization.

Contribution

It presents a novel delay prediction-based VNE algorithm combining delay estimation and PSO optimization, improving delay performance in virtual network embedding.

Findings

Significantly reduces system delay compared to other algorithms.

Maintains other performance indicators unaffected.

Effective in delay-sensitive network virtualization applications.

Abstract

Virtual network embedding (VNE) is an crucial part of network virtualization (NV), which aims to map the virtual networks (VNs) to a shared substrate network (SN). With the emergence of various delay-sensitive applications, how to improve the delay performance of the system has become a hot topic in academic circles. Based on extensive research, we proposed a multi-domain virtual network embedding algorithm based on delay prediction (DP-VNE). Firstly, the candidate physical nodes are selected by estimating the delay of virtual requests, then particle swarm optimization (PSO) algorithm is used to optimize the mapping process, so as to reduce the delay of the system. The simulation results show that compared with the other three advanced algorithms, the proposed algorithm can significantly reduce the system delay while keeping other indicators unaffected.