Reference : D-ViNE: Dynamic Virtual Network Embedding in Non-Terrestrial Networks
Scientific congresses, symposiums and conference proceedings : Unpublished conference
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/51119
D-ViNE: Dynamic Virtual Network Embedding in Non-Terrestrial Networks
English
Maity, Ilora mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Vu, Thang Xuan mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Chatzinotas, Symeon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Minardi, Mario mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
10-Apr-2022
6
Yes
International
IEEE Wireless Communications and Networking Conference (WCNC)
from 10-04-2022 to 13-04-2022
IEEE
Austin, TX
USA
[en] Virtual Network Embedding (VNE) ; Network Function Virtualization (NFV) ; Satellite Networks
[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.
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/51119
10.1109/WCNC51071.2022.9771560
https://ieeexplore.ieee.org/document/9771560
FnR ; FNR13718904 > Symeon Chatzinotas > ASWELL > Autonomous Network Slicing For Integrated Satellite-terrestrial Transport Networks > 01/06/2020 > 31/05/2023 > 2019

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