Edge-Native Software Engineering Models for Ultra-Low Latency Enterprise Applications
Keywords:
edge-native computing, ultra-low latency, enterprise applications, containerizationAbstract
Edge-native software engineering reinvents business application design, deployment, and administration for ultra-low latency and resilience using distributed computing architectures and 5G networks. Edge-native business application engineering models and architectural paradigms using decentralized computing, containerized microservices, and event-driven orchestration are critiqued in this paper. Containerization, serverless edge frameworks, and dynamic orchestration pipelines enable near-real-time data source-service-consumer processing. Also investigated are heterogeneous edge and cloud node real-time data synchronization solutions for mission-critical industrial IoT automation, retail analytics, and latency-sensitive business operations. The project examines resilience architecture and adaptive workload allocation for 5G and SDN infrastructures to improve compute distribution and data proximity. Enterprise-grade systems with predictable performance under unanticipated network and resource constraints are created utilizing edge computing, DevOps automation, and distributed data management.
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