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Distributed Edge-native Computing with Intelligence-Enabled Microservice Orchestration
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AI
DOI：10.1016/j.iot.2026.102031.png)
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Abstract
En 中文
Network diversity, high reliability, intelligence, and the Internet of Things (IoT) are at the forefront of the distributed Edge-native computing vision, which aims to provide orchestration, better resource utilization, and self-optimizing networks. The integration of emerging disruptive technologies, namely AI, network autonomy, and a hybrid cloud computing architecture, with edge-native computing, propels the rapid development of an upgraded service-oriented architecture at the network's core/edge level. This acceleration is intended to support on-demand microservices, specifically focusing on visibility services essential for intelligent network management. This article explores the significance of AI-enabled ENC, including its design requirements and projected benefits. To address the challenges of managing and optimizing complex, heterogeneous distributed networks, we present a use case study and experimental evaluation based on the design of an edge intelligence framework. This framework leverages resources of a multisite cloud/edge-native microservices testbed to enhance network visibility and automation, enabling the deployment and orchestration of AI-powered microservices at the network edge. By applying statistical, machine learning, and deep learning-based analyses to this diverse dataset, we compare the accuracy of these forecasting models and demonstrate the effectiveness of our approach in accurately predicting network traffic patterns, even under varying network conditions. This accuracy is validated through low root-mean-square error and high coefficient of determination values. Our results highlight the potential of AI-enabled edge-native computing to revolutionize network management and optimization, enabling timely detection of performance degradation and proactive mitigation strategies.
Keywords:
Distributed edge resources
Edge-native
Internet of things
Microservices
Orchestration
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