Real-time applications are systems designed toprocess continuous streams of data and respond to externalevents within strict and predictable latency constraints. Withthe proliferation of cloud-native platforms, Internet of Things(IoT) ecosystems, financial trading systems, and interactiveweb applications, traditional synchronous request–responsearchitectures have proven insufficient. This paper presents acomprehensive survey of modern approaches to building real-time applications, focusing on event-driven architectures,reactive programming models, stream processing frameworks,edge computing and real-time communication protocols.Architectural trade-offs, performance characteristics,observability requirements, and emerging trends such as edgecomputing are analyzed using formal performance metricsand comparative evaluation. Key frameworks andmethodologies are reviewed in the context of performance,scalability, and implementation complexity.
Anish Mathew· Zenodo (CERN European Organi...· 0 citations
Real-time applications are systems designed toprocess continuous streams of data and respond to externalevents within strict and predictable latency constraints. Withthe proliferation of cloud-native platforms, Internet of Things(IoT) ecosystems, financial trading systems, and interactiveweb applications, traditional synchronous request–responsearchitectures have proven insufficient. This paper presents acomprehensive survey of modern approaches to building real-time applications, focusing on event-driven architectures,reactive programming models, stream processing frameworks,edge computing and real-time communication protocols.Architectural trade-offs, performance characteristics,observability requirements, and emerging trends such as edgecomputing are analyzed using formal performance metricsand comparative evaluation. Key frameworks andmethodologies are reviewed in the context of performance,scalability, and implementation complexity.
Anish Mathew· Zenodo (CERN European Organi...· 0 citations
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