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A Conceptual Framework for Scalable Microservices in Real-Time Airline Operations Platforms
Subject area: Science,Engineering and Technology · Area of research: Operational Resilience
Abstract
The increasing complexity and time-sensitivity of airline operations demand a departure from monolithic system architectures toward more scalable, modular, and resilient solutions. This paper introduces a conceptual framework designed to support microservices-based architecture for real-time airline operations platforms. It contextualizes the transformation within the broader digital shift in the aviation sector, emphasizing the critical role of real-time decision support systems in managing flight tracking, crew scheduling, turnaround coordination, and disruption management. Through a structured exploration of microservices architecture principles?such as service autonomy, independent deployment, and bounded contexts?the study highlights how system decomposition enhances scalability and operational flexibility. The framework integrates key technological enablers, including containerization, orchestration, service meshes, and real-time data pipelines, to deliver high availability, low latency, and robust fault tolerance. It further addresses the intricacies of integrating microservices with legacy airline systems and external stakeholders while ensuring system interoperability and continuous delivery. A detailed use-case illustrates how the proposed architecture supports end-to-end operational workflows, reinforcing its practical applicability. The paper concludes by outlining future innovation pathways, including AI-driven orchestration, edge computing, and emerging digital standards, positioning the framework as a strategic blueprint for next-generation airline systems.
Keywords
Microservices Architecture, Real-Time Airline Operations, Scalability, Service-Oriented Systems, System Integration, Operational Resilience
How to cite this paper
@article{1708125,
author = {Denis Kisina, Nneka Adaobi Ochuba, Samuel Owoade, Abel Chukwuemeke Uzoka, Toluwase Peter Gbenle; Oluwasanmi Segun Adanigbo},
title = {A Conceptual Framework for Scalable Microservices in Real-Time Airline Operations Platforms},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {6},
number = {8},
pages = {344-354},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1708125.pdf},
abstract = {The increasing complexity and time-sensitivity of airline operations demand a departure from monolithic system architectures toward more scalable, modular, and resilient solutions. This paper introduces a conceptual framework designed to support microservices-based architecture for real-time airline operations platforms. It contextualizes the transformation within the broader digital shift in the aviation sector, emphasizing the critical role of real-time decision support systems in managing flight tracking, crew scheduling, turnaround coordination, and disruption management. Through a structured exploration of microservices architecture principles?such as service autonomy, independent deployment, and bounded contexts?the study highlights how system decomposition enhances scalability and operational flexibility. The framework integrates key technological enablers, including containerization, orchestration, service meshes, and real-time data pipelines, to deliver high availability, low latency, and robust fault tolerance. It further addresses the intricacies of integrating microservices with legacy airline systems and external stakeholders while ensuring system interoperability and continuous delivery. A detailed use-case illustrates how the proposed architecture supports end-to-end operational workflows, reinforcing its practical applicability. The paper concludes by outlining future innovation pathways, including AI-driven orchestration, edge computing, and emerging digital standards, positioning the framework as a strategic blueprint for next-generation airline systems.},
keywords = {Microservices Architecture, Real-Time Airline Operations, Scalability, Service-Oriented Systems, System Integration, Operational Resilience},
month = {February},
}