EOTE-FSC:对于雾智能城市而言,高效的卸载任务执行能够实现智能城市
Faheem Nawaz Tareen1, Ahmad Naseem Alvi1, Badr Alsamani2
1Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad, Pakistan.
PloS one
|April 5, 2024
概括
本研究介绍了用于雾智能城市 (EOTE - FSC) 系统的高效卸载任务执行. EOTE - FSC在雾节点之间平衡任务负载,显著减少执行时间,并优先考虑智能城市应用程序的高需求任务.
科学领域:
- 计算机科学 计算机科学
- 信息技术 信息技术 信息技术
- 智慧城市技术 智慧城市技术
背景情况:
- 智慧城市利用信息和通信技术 (ICT) 改善城市生活.
- 智能城市的物联网 (IoT) 传感器网络面临处理限制,需要任务卸载.
- 雾计算节点是为了减少任务执行的延迟而引入的,但它面临着不均的任务分配和优先级的挑战.
研究的目的:
- 为雾智能城市 (EOTE - FSC) 框架提出一个高效的卸载任务执行.
- 为了应对在雾计算节点之间不平衡的任务分配的挑战.
- 优化高优先级任务在截止日期内执行.
主要方法:
- 通过修改贪的算法来有效分配任务,开发了一个负载平衡机制.
- 实施了修改后的任务序列算法,并为雾节点设置了截止日期.
- 比较EOTE - FSC的负载平衡与Round Robin,Greedy及其变体.
- 评估了EOTE-FSC的任务执行与先来先服务 (FCFS) 算法相比.
主要成果:
- 与传统算法相比,EOTE-FSC可将雾节点的最大负载降低高达29%.
- 实现了最大雾结负荷的显著降低:27.3%与Greedy相比,23%与RR-LJF相比,以及24.4%与RR-SJF相比.
- 与FCFS相比,在截止日期内成功执行了更多的优先任务.
结论:
- 拟议的EOTE-FSC有效地平衡了智能城市环境中的雾节点之间的任务负载.
- EOTE - FSC提高了整体任务执行效率,并优先考虑关键任务.
- 这种方法有助于更具响应性和可靠的智能城市基础设施.
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