Event-Driven Systems: Reducing Latency in Distributed Architectures
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Abstract
Event-driven systems are pivotal in enhancing the responsiveness and efficiency of distributed architectures, particularly in environments where latency is a critical concern. This abstract explores the fundamental principles of event-driven architecture (EDA) and its implications for minimizing latency in distributed systems. EDA promotes asynchronous communication between system components, allowing them to react to events as they occur, rather than relying on synchronous processing. This approach significantly reduces the time delays associated with request-response cycles and fosters scalability by enabling independent processing of events. The paper discusses various techniques employed to optimize event handling, including message queuing, event streaming, and the use of microservices. Additionally, it highlights real-world applications of EDA in sectors such as finance, telecommunications, and IoT, where low latency is essential for performance. The study emphasizes the importance of efficient event management strategies and tools, such as Apache Kafka and RabbitMQ, that facilitate high throughput and low latency in distributed architectures. Ultimately, the findings suggest that implementing an event-driven approach can lead to substantial improvements in system responsiveness, resource utilization, and overall user experience in distributed environments.
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References
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