AI-Orchestrated Cloud Pipelines with Microservices and Containerization for Sustainable Smart Mobility
DOI:
https://doi.org/10.15662/IJARCST.2023.0605005Keywords:
AI orchestration, Cloud pipelines, Microservices, Containerization, Smart mobility, Sustainable computing, Resource optimization, Intelligent transport systems, Real-time decision making, Cloud-native architectureAbstract
The growing demand for sustainable smart mobility requires intelligent, scalable, and energy-efficient computing infrastructures. Conventional monolithic architectures often fail to meet the flexibility and performance requirements of modern mobility ecosystems. This paper proposes an AI-orchestrated cloud pipeline powered by microservices and containerization to support sustainable smart mobility solutions. The framework leverages artificial intelligence to dynamically allocate resources, optimize workload distribution, and manage data pipelines across heterogeneous environments. By decoupling functionalities into containerized microservices, the system ensures modularity, fault tolerance, and rapid scalability. AI-driven orchestration enhances system adaptability, enabling real-time decision-making for applications such as traffic flow optimization, multimodal transport integration, and energy-aware route planning. Experimental evaluation demonstrates that the proposed architecture achieves reduced energy consumption, improved latency performance, and enhanced scalability compared to traditional cloud-based mobility systems. This research highlights the synergy between AI, cloud-native microservices, and containerization technologies in enabling reliable, sustainable, and intelligent smart mobility infrastructures.
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