arXiv:2411.12650cs.SEcs.AI2024-11被引 5

用边缘微服务重构机票系统,让预订更快更稳。

Optimizing Airline Reservation Systems with Edge-Enabled Microservices: A Framework for Real-Time Data Processing and Enhanced User Responsiveness

  • 将预订、查座等操作移至用户附近,降低延迟。
  • 实现低延迟、高吞吐,提升用户体验。
  • 适合关注实时性与可扩展性的航空科技团队。

航空公司预订系统日益复杂,亟需智能解决方案以构建快速、高效且可适应的系统。本文提出一种基于边缘计算微服务的概念框架,解决传统集中式架构的不足。通过将座位库存检查、预订及确认等操作靠近用户执行,显著降低响应时间并提升系统性能。核心组件包括由Kubernetes编排的分布式微服务、基于Kafka的实时消息处理系统及其弹性扩展能力;配套使用Prometheus和Grafana进行资源监控与管理,确保全流程优化。尽管本研究聚焦于设计与理论构想,但其优势在于推动航空服务业转型,提升客户满意度,支持低成本部署,并有效支撑人工智能与物联网等技术演进。该架构为现代分布式实时系统提供了可落地的扩展方案,具备市场应用潜力。

原文摘要 · Abstract (English)

The growing complexity of the operations of airline reservations requires a smart solution for the adoption of novel approaches to the development of quick, efficient, and adaptive reservation systems. This paper outlines in detail a conceptual framework for the implementation of edge computing microservices in order to address the shortcomings of traditional centralized architectures. Specifically, as edge computing allows for certain activities such as seat inventory checks, booking processes and even confirmation to be done nearer to the user, thus lessening the overall response time and improving the performance of the system. In addition, the framework value should include achieving the high performance of the system such as low latency, high throughput and higher user experience. The major design components include deployed distributed computing microservices orchestrated by Kubernetes, real-time message processing system with Kafka and its elastic scaling. Other operational components include Prometheus and Grafana, which are used to monitor and manage resources, ensuring that all operational processes are optimized. Although this research focuses on a design and theoretical scheming of the framework, its use is foreseen to be more advantageous in facilitating a transform in the provision of services in the airline industry by improving customers' satisfaction, providing infrastructure which is cheap to install and efficiently supporting technology changes such as artificial intelligence and internet of things embedded systems. This research addresses the increasing demand for new technologies with modern well-distributed and real-time-centric systems and also provides a basis for future case implementation and testing. As such, the proposed architecture offers a market-ready, extensible solution to the problems posed by existing airline reservation systems .

边缘计算微服务实时系统

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