Scalable and Performance-Optimized Flight Schedule Calculation System Enhancement

The client’s existing schedule calculation system, combining legacy database processing and proprietary Java code, encounters performance bottlenecks and limited scalability. These issues hinder efficient processing of increasing travel data volumes, elevate licensing costs, and impact timely data delivery.

A large-scale global travel data aggregator that provides flight information and scheduling services, facing challenges with system scalability and processing performance.

• Replace legacy calculation logic with a high-performance, open-source framework to improve processing speed.
• Achieve significant reduction in processing time compared to the existing system.
• Reduce total cost of ownership (TCO) associated with licensing and maintenance.
• Design a system that is easier to develop, maintain, and deploy at scale.
• Ensure functional correctness in daily processing outputs comparable to current standards.

• Implementation of core calculation logic using a high-performance or open-source framework.
• Ability to process large volumes of flight data efficiently on a scalable architecture.
• Capability to perform functional validation by comparing output with legacy system results.
• Automated performance testing modules to benchmark speed improvements.
• Deployment automation for easy updates and maintenance.

• Existing legacy database systems for data access and validation.
• Performance testing frameworks for comparative benchmarking.
• Operational monitoring tools for system health and performance metrics.

• System scalability to accommodate growing data volumes with minimal latency.
• Processing speed: achieve significant speedup over existing system (quantified in performance testing).
• Reliability and correctness: ensure daily outputs match existing system outputs during validation.
• Maintainability: facilitate easier code updates and deployment workflows.
• Cost efficiency: leverage open-source solutions to lower TCO.

The new flight schedule calculation system is expected to deliver markedly faster processing times, reducing delay in data availability. Achieving a substantial reduction in TCO and simplifying system maintenance will decrease operational costs. Functional validation confirms output consistency, enabling reliable, scalable data delivery to support the client’s global travel data services and enhance user experience through faster, more accurate flight scheduling information.