<ul><li>The paper presents a microservices-based framework for enhancing the performance of real-time travel reservation systems using predictive analytics.</li><li>The framework adopts a modularization approach to decouple system components into independent services that can scale according to demand.</li><li>It includes real-time predictive analytics through machine learning models to optimize customer demand forecasting, dynamic pricing, and system performance.</li><li>Experimental evaluation shows that the framework improves performance metrics such as response time, throughput, transaction success rate, and prediction accuracy.</li></ul>

Microservices-Based Framework for Predictive Analytics and Real-time Performance Enhancement in Travel Reservation Systems

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