# Enhancing Resilience and Scalability in Travel Booking Systems: A Microservices Approach to Fault Tolerance, Load Balancing, and Service Discovery

arXiv: https://arxiv.org/abs/2410.19701 · HTML: https://mlsanity.com/paper/2410.19701/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- Builds on 3 of its 29 references that are in the map.
- First posted on arXiv 25 Oct 2024.

## Builds on (most cited first, 3 of 3)

- [Blockchain-Based Trust and Transparency in Airline Reservation Systems using Microservices Architecture](https://mlsanity.com/paper/2410.14518/) (2024)
- [Optimizing Travel Itineraries with AI Algorithms in a Microservices Architecture: Balancing Cost, Time, Preferences, and Sustainability](https://mlsanity.com/paper/2410.17943/) (2024)
- [Microservices: Migration of a Mission Critical System](https://mlsanity.com/paper/1704.04173/) (2017)

## Built on by (most cited first, 4 of 4)

- [Novel Architecture for Distributed Travel Data Integration and Service Provision Using Microservices](https://mlsanity.com/paper/2410.24174/) (2024)
- [Leveraging Microservices Architecture for Dynamic Pricing in the Travel Industry: Algorithms, Scalability, and Impact on Revenue and Customer Satisfaction](https://mlsanity.com/paper/2411.01636/) (2024)
- [A Next-Generation Approach to Airline Reservations: Integrating Cloud Microservices with AI and Blockchain for Enhanced Operational Performance](https://mlsanity.com/paper/2411.06538/) (2024)
- [Optimizing Airline Reservation Systems with Edge-Enabled Microservices: A Framework for Real-Time Data Processing and Enhanced User Responsiveness](https://mlsanity.com/paper/2411.12650/) (2024)

## Abstract (arXiv)

This paper investigates the inclusion of microservices architecture in the development of scalable and reliable airline reservation systems. Most of the traditional reservation systems are very rigid and centralized which makes them prone to bottlenecks and a single point of failure. As such, systems do not meet the requirements of modern airlines which are dynamic. Microservices offer better resiliency and scalability because the services do not depend on one another and can be deployed independently. The approach is grounded on the Circuit Breaker Pattern to maintain fault tolerance while consuming foreign resources such as flight APIs and payment systems. This avoided the failure propagation to the systems by 60% enabling the systems to function under external failures. Traffic rerouting also bolstered this with a guarantee of above 99.95% uptime in systems where high availability was demanded. To address this, load balancing was used, particularly the Round-Robin method which managed to enhance performance by 35% through the equal distribution of user requests among the service instances. Health checks, as well as monitoring in real-time, helped as well with failure management as they helped to contain failures before the users of the system were affected. The results suggest that the use of microservices led to a 40% increase in system scalability, a 50% decrease in downtime and a support for 30% more concurrent users than the use of monolithic architectures. These findings affirm the capability of microservices in the development of robust and flexible airline ticket booking systems that are responsive to change and recover from external system unavailability.