[论文解读] Design and Evaluation of a Microservices Cloud Framework for Online Travel Platforms

Biman Barua, M. Shamim Kaiser|ArXiv.org|May 20, 2025

Software System Performance and Reliability被引用 3

一句话总结

该论文提出并评估了一种面向在线旅行平台的微服务云框架（MCF-OTP），通过利用云与微服务技术来提升性能、灵活性和可维护性，重点关注容错、动态扩展和高效资源分配。

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.

研究动机与目标

• Motivate the need for scalable, flexible architectures for global online travel platforms handling thousands of agents and billions of client data.
• Propose the Microservices Cloud Framework for Online Travel Platforms (MCF-OTP) to enhance performance, maintenance, and adaptability.
• Investigate the framework’s efficiency focusing on fault tolerance and response time.
• Assess how cloud-based deployment reduces costs and improves resource allocation.

提出的方法

• Design of a Microservices Cloud Framework for Online Travel Platforms (MCF-OTP) to address large-scale data sources, traffic peaks, and fault tolerance.
• Integration of microservices with cloud computing to enable dynamic scaling and improved data synchronization.
• Optimization guidance for service borders and inter-service dependencies to enhance developer adaptability.
• Evaluation framework focusing on fault tolerance and response-time metrics.
• Cost and resource allocation analysis in a cloud-based deployment to determine economic benefits.

实验结果

研究问题

• RQ1 How does MCF-OTP improve dependability and scalability compared to monolithic designs in handling traffic spikes and data from global online travel platforms?
• RQ2 What is the impact of MCF-OTP on fault tolerance and response time under variable load conditions?
• RQ3 How does the framework affect development adaptability through optimized service borders and reduced inter-service dependencies?
• RQ4 What are the cost implications of adopting a cloud-based microservices framework for online travel platforms?

主要发现

• MCF-OTP outperforms traditional monolithic designs in dependability and scalability under peak loads.
• The framework manages traffic spikes with seamless operation and reduced downtime.
• Cloud-based deployment lowers fracture costs and improves resource allocation efficiency.
• The study includes an economic analysis showing net gains from startup and ongoing operational costs (specific numbers not provided in abstract).
• The framework supports data synchronization and dynamic scaling through cloud and microservice technologies.