SFC-Aware Online Aggregated Data-Link Orchestration for SDN/NFV-Enabled SAGINs

📅 2026-08-26
📈 Citations: 0
Influential: 0
📄 PDF
🤖 AI Summary
本文针对SDN/NFV赋能的SAGINs中异构服务的支持问题,提出了一种基于TEMP和MRSAR方法的服务功能链感知在线数据链编排方案。
📝 Abstract
Civil aviation space-air-ground integrated networks (SAGINs) are expected to support heterogeneous cockpit and cabin services over dynamic air-to-air (A2A), air-to-ground (A2G), and air-to-satellite (A2S) data links. This paper studies service function chain (SFC)-aware online access-side aggregated data-link orchestration for civil aviation SAGINs enabled by software-defined networking and network function virtualization (SDN/NFV). We jointly orchestrate spatial bearer resources and temporal elasticity enabled by temporal elastic mapping and parking (TEMP). A rolling-slot model is developed with four request-level actions: NOW, TEMP, REJECT, and DROP, under a lexicographic objective that prioritizes service success, then normalized access-orchestration delay, and finally residual TEMP-related risk. To avoid exhaustive search over the full binary action space, we propose Model-Induced Risk and Scarcity-Aware Refinement (MRSAR), which derives deferred-realization risk from the success-prioritized objective and resource-scarcity signals from data-link and TEMP buffer constraints. These signals guide valuation-based feasible construction and bounded neighborhood refinement. Simulation results show that MRSAR remains close to the Gurobi-MILP reference in service success, outperforms arrival-order and delay-myopic greedy baselines, controls REJECT and DROP failures, and achieves a favorable quality-complexity tradeoff for rolling online orchestration.
Problem

Research questions and friction points this paper is trying to address.

SFC-aware
online orchestration
SAGINs
data-link
SDN/NFV
Innovation

Methods, ideas, or system contributions that make the work stand out.

SFC-aware
Online Aggregated Data-Link Orchestration
TEMP
MRSAR
Rolling-slot Model
🔎 Similar Papers
No similar papers found.
💼 Related Jobs
No related jobs found.
Ziyang Guo
Ziyang Guo
Northwestern Univeristy
Human-AI complementarityDecision making
B
Bing Du
Department of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China