Dynamic resource management for neighbor-based VNF placement in decentralized satellite networks

Gao, Xiangqiang, Liu, Rongke, Kaushik, Aryan, Thompson, John, Zhang, Hangyu and Ma, Yuepu (2022) Dynamic resource management for neighbor-based VNF placement in decentralized satellite networks. IEEE 1st International Conference on 6G Networking (6GNet), Paris, France, 6th - 8th July 2022. Published in: IEEE 1st International Conference on 6G Networking proceedings. IEEE (Accepted)

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Abstract

By introducing software-defined networking (SDN) and network function virtualization (NFV), low-earth-orbit (LEO) satellite networks can facilitate virtual network function (VNF) placement, which will provide computing services for satellite applications on-demand. In this paper, we study the VNF placement problem in a decentralized LEO satellite network due to the requirements for real-time processing and network resilience, where our aim is to jointly optimize end-toend service delay and network bandwidth cost in a dynamic environment. To this end, a decentralized LEO satellite network architecture is first implemented for resource management by establishing the neighboring sub-network for each satellite. Then we formulate the VNF placement problem as an integer non-linear programming problem with multiple constraints of network resources and service requirements. A neighbor-based VNF placement (N-VNFP) approach is proposed to address the optimization problem. Finally, we conduct the experiments to evaluate the performance of the proposed N-VNFP approach in a Walker constellation with 66 LEO satellites. The simulation results show that the proposed N-VNFP approach provides an effective solution for resource management in a decentralized LEO satellite network and also outperforms the two centralized baselines, i.e., Viterbi and Greedy, in terms of end-to-end service delay and network bandwidth cost.

Item Type: Conference Proceedings
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Schools and Departments: School of Engineering and Informatics > Engineering and Design
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Depositing User: Mx Elements Account
Date Deposited: 25 Apr 2022 08:00
Last Modified: 25 Apr 2022 08:00
URI: http://sro.sussex.ac.uk/id/eprint/105482

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