A three-stage hybrid optimizer for risk-aware SFC provisioning in multi-slice LEO satellite networks reduces co-location risk by 40% and avoidable VNF migrations by 80% versus a greedy baseline while enabling real-time operation after the first epoch.
Service function chaining in LEO satellite networks via multi-agent reinforcement learning,
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Cross-Slice Co-Location Risk-Aware SFC Provisioning in Multi-Slice LEO Satellite Networks
A three-stage hybrid optimizer for risk-aware SFC provisioning in multi-slice LEO satellite networks reduces co-location risk by 40% and avoidable VNF migrations by 80% versus a greedy baseline while enabling real-time operation after the first epoch.