Architecture evaluation demonstrates sub-millisecond dynamic pricing latency without legacy core overhead in enterprise airline middleware, indicating scalable real-time yield optimization.
This paper presents a decoupled read-only mirror ingestion proxy architecture designed for highconcurrency airline distribution middleware environments. The proposed architecture addresses a critical industrial bottleneck: the inability of legacy Global Distribution System (GDS) reservation cores to sustain real-time dynamic pricing computation without introducing synchronized negative overhead or data persistence dependencies. By deploying a stateless, asynchronous mirror ingestion proxy layer between legacy reservation systems and the optimization engine, the architecture achieves an internal processing latency boundary strictly bounded below 1.0 ms while introducing absolute zero write-back operations to live transaction cores. The design incorporates a declarative Two-Phase Commit (2PC) rollback protocol that guarantees complete data purity and 0.00% cache pollution for legacy OLTP reservation threads under catastrophic network partition scenarios exceeding 15 ms limits. Empirical validation across multi-region active-active containerized microservices demonstrates distributed eventual consistency under a strict 12 ms cross-border fiber pathway propagation convergence limit. This architecture has been production-deployed within an enterprise airline middleware environment, processing high-frequency multi-source distribution data streams empirically validated leveraging aggregated historical anonymized logs from 17 distinct carrier networks with a verified median yield lift of 11.2%.
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ZHU ZHAORUI (2026) studied this question.
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