Design and Evaluation of a Microservices Cloud Framework for Online Travel Platforms

TL;DR

This paper presents a microservices cloud framework tailored for online travel platforms, enhancing scalability, fault tolerance, and flexibility to handle large-scale data and traffic peaks efficiently.

Contribution

The paper introduces a novel Microservices Cloud Framework for Online Travel Platforms that improves performance, scalability, and maintenance over traditional monolithic architectures.

Findings

Framework outperforms monolithic designs in fault tolerance and response time

Efficient handling of traffic spikes and reduced downtime

Cost analysis shows improved resource allocation and operational efficiency

Abstract

Handling online travel agents globally requires efficient and flexible software solution architectures. When it needs to handle thousands of agents and billions of clients data globally. Microservices architecture is used to break down a large program into numerous, smaller services which can run individually and perform individual tasks. This paper analyses and integrates a unique Microservices Cloud Framework designed to support Online Travel Platforms (MCF-OTP). MCF-OTPs main goal is to increase the performance, flexibility, and maintenance of online travel platforms via cloud computing and microservice technologies. Large-scale travel apps, including managing numerous data sources, dealing with traffic peaks, and providing fault tolerance, can be addressed by the suggested framework. The framework increases good interpretation between flawless data synchronization, microservices, and dynamic scaling based on demand technology. An organization framework that optimizes service borders and minimizes inter-service dependencies is recommended. Thus, this can result in elevated development adaptability. In this research, the principal goal is to evaluate MCF-OTPs efficiency using the indicators of fault tolerance and response time. It is indicated by the findings that the MCF-OTP structure excels traditional monolithic designs in terms of dependability and scalability, managing traffic spikes seamlessly and decreasing downtime. The cost-effective analysis helps ascertain the net gain attained by the startup fees and the ongoing operational costs. The cloud-based environment is used to reduce the fracture cost which also helps to increase the efficiency of resource allocation, according to the research.