International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Volume 8 Issue 3
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Event-Driven and Microservices-Based Architecture for a Scalable and High-Performance Cloud-Based Precision Dispatch System for Railroad Infrastructure

Author(s) Mr. Rahul Ganta
Country United States
Abstract Modern railroad infrastructure demands highly responsive, scalable, and resilient dispatch systems capable of processing real-time operational data and adapting to dynamic conditions. Traditional monolithic architectures fail to meet these requirements due to latency, limited scalability, and poor fault isolation. This paper proposes a cloud-based precision dispatch system built on an event-driven and microservices-based architecture to address these challenges. The proposed framework leverages asynchronous event streaming, distributed services, and real-time data processing to enhance system responsiveness, reliability, and scalability. Key performance metrics—including latency, throughput, and fault tolerance—are evaluated against conventional systems. Results demonstrate significant improvements in dispatch accuracy, system resilience, and operational efficiency under high-load conditions. The study also examines integration challenges with legacy systems and outlines best practices for deployment using modern cloud-native technologies. The findings highlight the effectiveness of combining event-driven architecture with microservices in enabling next-generation intelligent dispatch systems for railroad infrastructure.
Keywords Precision Dispatch Systems; Event-Driven Architecture; Microservices; Cloud Computing; Real-Time Data Processing; Distributed Systems; Apache Kafka; Railroad Infrastructure; Scalability; Fault Tolerance; Cloud-Native Applications.
Field Computer Applications
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-05-07
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.74036
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E-ISSN 2582-2160
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