基于用户的社交关系的边缘计算任务调度方法:智能城市图书馆的构建和解决方案
1Research Department, Jilin University of Finance and Economics, Changchun, Jilin, China.
PeerJ. Computer science
|December 9, 2024
概括
本研究介绍了一个新的边缘计算任务调度模型,用于智能城市图书馆,该模型使用社会关系和设备连接. 该模型减少了延迟和能源消耗,提高了安全性和可靠性.
科学领域:
- 计算机科学 计算机科学
- 智慧城市技术 智慧城市技术
- 边缘计算 边缘计算
背景情况:
- 智慧城市图书馆需要强大的边缘计算来提供高效的服务.
- 现有的任务调度模型往往忽视了用户的社交动态和设备的近距离.
- 整合社会关系和设备连接对于优化边缘计算至关重要.
研究的目的:
- 为智慧城市图书馆的边缘计算提出一个新的任务调度模型.
- 利用用户的社交关系和设备对设备 (D2D) 通信来改进调度.
- 为了提高边缘计算任务调度的安全性,可靠性和效率.
主要方法:
- 使用数学卷积和雅卡德相似性构建了一个用户的社会关系图.
- 开发了一个基于欧几里德距离的设备连接图,用于D2D通信对齐.
- 通过结合社交和设备连接图,创建了一个任务-设备双边图.
- 使用Kuhn-Munkres (KM) 算法来计算任务执行成本和确定边缘权重.
主要成果:
- 拟议的模型显示了任务执行延迟和能源消耗的显著减少.
- 与其他算法相比,该模型显示出最佳性能,随着社会值得分从0.2变为0.6.6,任务执行延迟从23增加到32.
- 该方法有效地提高了边缘计算任务调度的安全性和可靠性.
结论:
- 这种新的任务调度模型在智能城市图书馆环境中提高了边缘计算性能.
- 利用社会关系和设备连接为未来边缘计算研究提供了一个有希望的方向.
- 这项工作有助于边缘计算的进步,为更高效,更安全的智能城市基础设施铺平了道路.
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