Dynamic Resource Management for Neighbor-based VNF Placement in Decentralized Satellite Networks

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.