The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
A incorporação de redes virtuais sobreviventes (SVNE) é um dos principais desafios da virtualização de redes. A fim de melhorar a taxa de utilização dos recursos da rede de substrato (SN) com garantia de conectividade de topologia de rede virtual (VN) sob falha de link no SN, primeiro estabelecemos um modelo de Programação Linear Inteira (ILP) para que sob SN suporte divisão de caminho. Em seguida, projetamos um novo método de proteção de topologia VN de sobrevivência baseado na otimização de enxame de partículas (VNE-PSO), que redefine os parâmetros e operações relacionadas de partículas com a sobrecarga de incorporação como função de aptidão. Os resultados da simulação mostram que a solução melhora significativamente a receita média de longo prazo do SN, a taxa de aceitação de solicitações de VN e reduz o tempo de incorporação em comparação com os resultados da pesquisa existente.
Guangyuan LIU
Shijiazhuang Tiedao University,Tsinghua University
Daokun CHEN
Institute of Software Chinese Academy of Sciences
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copiar
Guangyuan LIU, Daokun CHEN, "Survivable Virtual Network Topology Protection Method Based on Particle Swarm Optimization" in IEICE TRANSACTIONS on Information,
vol. E103-D, no. 6, pp. 1414-1418, June 2020, doi: 10.1587/transinf.2019EDL8113.
Abstract: Survivable virtual network embedding (SVNE) is one of major challenges of network virtualization. In order to improve the utilization rate of the substrate network (SN) resources with virtual network (VN) topology connectivity guarantee under link failure in SN, we first establishes an Integer Linear Programming (ILP) model for that under SN supports path splitting. Then we designs a novel survivable VN topology protection method based on particle swarm optimization (VNE-PSO), which redefines the parameters and related operations of particles with the embedding overhead as the fitness function. Simulation results show that the solution significantly improves the long-term average revenue of the SN, the acceptance rate of VN requests, and reduces the embedding time compared with the existing research results.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2019EDL8113/_p
Copiar
@ARTICLE{e103-d_6_1414,
author={Guangyuan LIU, Daokun CHEN, },
journal={IEICE TRANSACTIONS on Information},
title={Survivable Virtual Network Topology Protection Method Based on Particle Swarm Optimization},
year={2020},
volume={E103-D},
number={6},
pages={1414-1418},
abstract={Survivable virtual network embedding (SVNE) is one of major challenges of network virtualization. In order to improve the utilization rate of the substrate network (SN) resources with virtual network (VN) topology connectivity guarantee under link failure in SN, we first establishes an Integer Linear Programming (ILP) model for that under SN supports path splitting. Then we designs a novel survivable VN topology protection method based on particle swarm optimization (VNE-PSO), which redefines the parameters and related operations of particles with the embedding overhead as the fitness function. Simulation results show that the solution significantly improves the long-term average revenue of the SN, the acceptance rate of VN requests, and reduces the embedding time compared with the existing research results.},
keywords={},
doi={10.1587/transinf.2019EDL8113},
ISSN={1745-1361},
month={June},}
Copiar
TY - JOUR
TI - Survivable Virtual Network Topology Protection Method Based on Particle Swarm Optimization
T2 - IEICE TRANSACTIONS on Information
SP - 1414
EP - 1418
AU - Guangyuan LIU
AU - Daokun CHEN
PY - 2020
DO - 10.1587/transinf.2019EDL8113
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E103-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2020
AB - Survivable virtual network embedding (SVNE) is one of major challenges of network virtualization. In order to improve the utilization rate of the substrate network (SN) resources with virtual network (VN) topology connectivity guarantee under link failure in SN, we first establishes an Integer Linear Programming (ILP) model for that under SN supports path splitting. Then we designs a novel survivable VN topology protection method based on particle swarm optimization (VNE-PSO), which redefines the parameters and related operations of particles with the embedding overhead as the fitness function. Simulation results show that the solution significantly improves the long-term average revenue of the SN, the acceptance rate of VN requests, and reduces the embedding time compared with the existing research results.
ER -