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为知识管理智能应用提供AI边缘云服务

Antonio Maciá-Lillo1, Higinio Mora2, Antonio Jimeno-Morenilla2

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此摘要是机器生成的。

这项研究提出了一个无服务器边缘云架构,用于智能城市知识管理,提高效率和减少延迟. 这种混合方法优化了社会5.0目标的数据处理和计算.

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科学领域:

  • 计算机科学
  • 城市规划
  • 信息系统

背景情况:

  • 智慧城市的目标是以人为中心,数据驱动的环境与社会5.0保持一致.
  • 知识管理 (KM) 流程对于智慧城市的功能至关重要.
  • 现有的架构面临着KM的延迟,成本和可扩展性方面的挑战.

研究的目的:

  • 调查智慧城市KM流程的无服务器边缘云架构.
  • 提高智慧城市应用的响应能力和效率.
  • 分析KM混合边缘云环境的特点,机遇和局限性.

主要方法:

  • 提出混合架构,结合云,边缘和无服务器计算.
  • 借助云来实现可扩展性和基于近距离的边缘处理.
  • 进行实验分析以评估性能效益.

主要成果:

  • 证实了数据传输时间的缩短和网络拥堵的缓解.
  • 在混合架构中展示了成本高效的计算选项.
  • 确定了边缘和云环境的关键特征,机遇和局限性.

结论:

  • 无服务器边缘云架构有效支持智能城市的KM流程.
  • 这一框架为推进以知识为导向的服务和智慧城市应用提供了灵活性.
  • 优化数据处理和减少延迟时间是城市治理的关键好处.