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面向支持SDN/NFV的SAGIN的感知SFC的在线聚合数据链路编排

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

Ziyang Guo, Bing Du

arXiv 2608.26559首次发表:更新:

AI 中文总结

针对支持SDN/NFV的SAGIN,提出MRSAR方法进行感知SFC的在线聚合数据链路编排,其性能接近Gurobi-MILP,优于贪心基线,实现了良好的质量-复杂度权衡。

AI 中文摘要

民航天地一体化网络(SAGIN)预计将通过动态空对空(A2A)、空对地(A2G)和空对卫星(A2S)数据链路,支持异构的驾驶舱与客舱服务。本文研究由软件定义网络(SDN)和网络功能虚拟化(NFV)赋能的民航SAGIN中感知服务功能链(SFC)的在线接入侧聚合数据链路编排。我们联合编排空间承载资源与由时间弹性映射和驻留(TEMP)带来的时间弹性。开发了一种滚动时隙模型,包含NOW、TEMP、REJECT、DROP四种请求级动作,其词典式目标优先考虑服务成功,其次是归一化接入编排延迟,最后是与TEMP相关的剩余风险。为避免在全二元动作空间中进行穷举搜索,我们提出模型诱导风险与稀缺感知精炼(MRSAR),该方法从优先考虑服务成功的目标中推导延迟实现风险,并从数据链路和TEMP缓冲区约束中推导资源稀缺信号。这些信号指导基于估值的可行构造与有界邻域精炼。仿真结果表明,MRSAR在服务成功率上与Gurobi-MILP参考方案接近,优于到达顺序和延迟短视的贪心基线,可控制REJECT和DROP失败,且在滚动在线编排中实现了良好的质量-复杂度权衡。

英文摘要

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.

Comments14 pages, 9 figures

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