在IoT-fog-cloud系统中进行最佳的工作流程安排,以最大限度地减少时间和能源
Roqia Rateb1, Ahmed Adnan Hadi2, Venkata Mohit Tamanampudi3
1Department of Computer Science, College of Information Technology, Al-Ahliyya Amman University, Amman, Jordan.
Scientific reports
|January 28, 2025
概括
本研究介绍了一种用于优化物联网 (IoT) 工作流程在雾云环境中的新方法. 阿奎拉和萨尔普群算法 (ASSA) 有效地减少了能源消耗,并为物联网系统节省了时间.
科学领域:
- 计算机科学 计算机科学
- 云计算 云计算 云计算
- 物联网的物联网,就是物联网.
背景情况:
- 越来越多地使用物联网 (IoT) 需要有效处理工作流程.
- 在计算平台上处理物联网工作流增加了成本和能源消耗.
- 现有的方法难以平衡能源效率和工作流程完成时间.
研究的目的:
- 为解决雾云环境中的物联网设备的工作流程调度问题.
- 为了减少能源消耗 (EC) 和工作流程的持续时间 (MST).
- 为了满足优先级,截止日期和可靠性的约束.
主要方法:
- 使用了混合的Aquila和Salp Swarm算法 (ASSA) 进行虚拟机 (VM) 选择.
- 应用了减少MakeSpan时间 (RMST) 技术,以尽量减少工作流执行时间.
- 集成的VM合并和动态电压频率缩放 (DVFS) 以减少静态和动态能源消耗.
主要成果:
- 提出的基于ASSA的方法有效地为工作流执行选择最佳的虚拟机.
- 在保持可靠性和截止日期的同时,RMST技术成功地减少了制作时间.
- 通过VM和DVFS的合并,静态和动态能源消耗显著下降.
结论:
- 实验结果表明,拟议的方法比现有方法的效率更高.
- 该研究成功地优化了在雾云环境中的物联网工作流程安排,以提高能源效率和性能.
- 综合方法为可持续和高效的物联网计算提供了一个有希望的解决方案.
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