Virtual Network Embedding (VNE); Network Function Virtualization (NFV); Satellite Networks
Résumé :
[en] In this paper, we address the virtual network embedding (VNE) problem in non-terrestrial networks (NTNs) enabling dynamic changes in the virtual network function (VNF) deployment to maximize the service acceptance rate and service revenue. NTNs such as satellite networks involve highly dynamic topology and limited resources in terms of rate and power. VNE in NTNs is a challenge because a static strategy under-performs when new service requests arrive or the network topology changes unexpectedly due to failures or other events. Existing solutions do not consider the power constraint of satellites and rate limitation of inter-satellite links (ISLs) which are essential parameters for dynamic adjustment of existing VNE strategy in NTNs. In this work, we propose a dynamic VNE algorithm that selects a suitable VNE strategy for new and existing services considering the time-varying network topology. The proposed scheme, D-ViNE, increases the service acceptance ratio by 8.51% compared to the benchmark scheme TS-MAPSCH.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
MAITY, Ilora ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
VU, Thang Xuan ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
CHATZINOTAS, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
MINARDI, Mario ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
D-ViNE: Dynamic Virtual Network Embedding in Non-Terrestrial Networks
Date de publication/diffusion :
10 avril 2022
Nom de la manifestation :
IEEE Wireless Communications and Networking Conference (WCNC)
Organisateur de la manifestation :
IEEE
Lieu de la manifestation :
Austin, TX, Etats-Unis
Date de la manifestation :
from 10-04-2022 to 13-04-2022
Manifestation à portée :
International
Titre du périodique :
IEEE Wireless Communications and Networking Conference (WCNC)
G. Wang, S. Zhou, S. Zhang, Z. Niu, and X. Shen, "SFC-Based Service Provisioning for Reconfigurable Space-Air-Ground Integrated Networks, " IEEE J. Sel. Areas Commun., vol. 38, no. 7, pp. 1478-1489, 2020.
O. Alhussein, P. T. Do, Q. Ye, J. Li, W. Shi, W. Zhuang, X. Shen, X. Li, and J. Rao, "A Virtual Network Customization Framework for Multicast Services in NFV-Enabled Core Networks, " IEEE J. Sel. Areas Commun., vol. 38, no. 6, pp. 1025-1039, 2020.
F. Mendoza, M. Minardi, S. Chatzinotas, L. Lei, and T. X. Vu, "An SDN Based Testbed for Dynamic Network Slicing in Satellite-Terrestrial Networks, " in IEEE International Mediterranean Conference on Communications and Networking (MeditCom), 2021, pp. 36-41.
N. Jalodia, S. Henna, and A. Davy, "Deep Reinforcement Learning for Topology-Aware VNF Resource Prediction in NFV Environments, " in IEEE Conference on NFV-SDN, 2019, pp. 1-5.
N. Kiran, X. Liu, S. Wang, and C. Yin, "VNF Placement and Resource Allocation in SDN/NFV-Enabled MEC Networks, " in IEEE Wireless Communications and Networking Conference Workshops (WCNCW), 2020, pp. 1-6.
M. Minardi, S. K. Sharma, S. Chatzinotas, and T. X. Vu, "A Parallel Link Mapping for Virtual Network Embedding with Joint Load-Balancing and Energy-Saving, " in IEEE International Mediterranean Conference on Communications and Networking (MeditCom), 2021, pp. 419-424.
L. Liu, S. Guo, G. Liu, and Y. Yang, "Joint Dynamical VNF Placement and SFC Routing in NFV-Enabled SDNs, " IEEE Trans. Netw. Service Manag., vol. 18, no. 4, pp. 4263-4276, Dec. 2021.
J. Li, W. Shi, H. Wu, S. Zhang, and X. Shen, "Cost-Aware Dynamic SFC Mapping and Scheduling in SDN/NFV-Enabled Space-Air-Ground Integrated Networks for Internet of Vehicles, " IEEE Internet Things J., pp. 1-1, 2021, DOI: 10.1109/JIOT.2021.3058250.
P. M. Mohan and M. Gurusamy, "Resilient VNF Placement for Service Chain Embedding in Diversified 5G Network Slices, " in IEEE GLOBECOM, 2019, pp. 1-6.
Z. Tu, H. Zhou, K. Li, G. Li, and Q. Shen, "A Routing Optimization Method for Software-Defined SGIN Based on Deep Reinforcement Learning, " in IEEE Globecom Workshops, 2019, pp. 1-6.
J. Li, H. Lu, K. Xue, and Y. Zhang, "Temporal Netgrid Model-Based Dynamic Routing in Large-Scale Small Satellite Networks, " IEEE Trans. Veh. Technol., vol. 68, no. 6, pp. 6009-6021, 2019.
M. Dayarathna, Y. Wen, and R. Fan, "Data Center Energy Consumption Modeling: A Survey, " IEEE Commun. Surveys Tuts., vol. 18, no. 1, pp. 732-794, 2016.
P. Zhang, C. Wang, N. Kumar, and L. Liu, "Space-Air-Ground Integrated Multi-Domain Network Resource Orchestration Based on Virtual Network Architecture: A DRL Method, " IEEE Trans. Intell. Transp. Syst., pp. 1-11, 2021.
S. K. Sharma, S. Chatzinotas, and B. Ottersten, "In-line interference mitigation techniques for spectral coexistence of GEO and NGEO satellites, " International Journal of Satellite Communications and Networking, vol. 34, no. 1, pp. 11-39, 2016.
