Maciá-Lillo Antonio, Mora Higinio, Jimeno-Morenilla Antonio, García-D'Urso Nahuel E, Azorín-López Jorge
Department of Computer Science and Technology (DTIC), University of Alicante, 03690, San Vicente del Raspeig, Spain.
Sci Rep. 2025 Sep 1;15(1):32246. doi: 10.1038/s41598-025-14429-7.
This paper investigates a serverless edge-cloud architecture to support knowledge management processes within smart cities, which align with the goals of Society 5.0 to create human-centered, data-driven urban environments. The proposed architecture leverages cloud computing for scalability and on-demand resource provisioning, and edge computing for cost-efficiency and data processing closer to data sources, while also supporting serverless computing for simplified application development. Together, these technologies enhance the responsiveness and efficiency of smart city applications, such as traffic management, public safety, and infrastructure governance, by minimizing latency and improving data handling at scale. Experimental analysis demonstrates the benefits of deploying KM processes on this hybrid architecture, particularly in reducing data transmission times and alleviating network congestion, while at the same time providing options for cost-efficient computations. In addition to that, the study also identifies the characteristics, opportunities and limitations of the edge and cloud environment in terms of computation and network communication times. This architecture represents a flexible framework for advancing knowledge-driven services in smart cities, supporting further development of smart city applications in KM processes.
本文研究了一种无服务器边缘云架构，以支持智慧城市中的知识管理流程，这与社会5.0创建以人为本、数据驱动的城市环境的目标相一致。所提出的架构利用云计算实现可扩展性和按需资源供应，利用边缘计算实现成本效益和在更靠近数据源的位置进行数据处理，同时还支持无服务器计算以简化应用程序开发。这些技术共同提高了智慧城市应用（如交通管理、公共安全和基础设施治理）的响应能力和效率，通过最小化延迟并提高大规模数据处理能力。实验分析证明了在这种混合架构上部署知识管理流程的好处，特别是在减少数据传输时间和缓解网络拥塞方面，同时还提供了经济高效的计算选项。除此之外，该研究还从计算和网络通信时间方面确定了边缘和云环境的特征、机会和局限性。这种架构代表了一个灵活的框架，用于推进智慧城市中知识驱动的服务，支持知识管理流程中智慧城市应用的进一步发展。
