Dynamic Resource Management for Neighbor-based VNF Placement in Decentralized Satellite Networks
Xiangqiang Gao, Rongke Liu, Aryan Kaushik, John Thompson, Hangyu Zhang, Yuepu Ma
Abstract
In this paper, we study the virtual network function 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-to-end 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 evaluate the performance of the proposed N-VNFP approach for resource management in a Walker constellation with 66 LEO satellites.