云计算系统的设计和评估,用于基于连贯检测的极化独立远程DAS的实时测量
Abdusomad Nur1,2, Almaz Demise2, Yonas Muanenda2
1Addis Ababa Institute of Technology, Addis Ababa University, King George VI St, Addis Ababa 1000, Ethiopia.
Sensors (Basel, Switzerland)
|January 8, 2025
概括
本研究评估了分布式声学传感 (DAS) 的云计算,发现虚拟机 (VM) 选择会影响处理时间. 基于云的DAS可扩展,用于实时数据管理.
科学领域:
- 地质物理学 地质物理学
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
背景情况:
- 分布式声学传感 (DAS) 能够在更广的区域进行振动测量.
- 对于DAS应用程序的实时数据处理和处理带来了重大的存储和计算挑战.
- 云计算为管理大规模DAS数据集提供了一个潜在的解决方案.
研究的目的:
- 设计和评估用于远程,偏振独立的DAS的云计算方案.
- 分析虚拟机 (VM) 容量和数据块大小对处理时间的影响.
- 评估基于云的DAS数据管理的可扩展性和效率.
主要方法:
- 利用CloudSim模拟框架来建模云基础设施.
- 模拟了用于DAS的云计算方案,使用连贯检测雷利反散信号.
- 调查了各种VM配置和数据块大小的处理时间.
主要成果:
- 虚拟机 (VM) 选择对实时DAS测量的计算时间产生了重大影响.
- 在DAS中实现两极分化的独立性引入了最小的处理开销.
- 每个周期增加数据块大小会导致处理时间的增加减少,显示可扩展性.
结论:
- 云计算方案可以扩展到远程DAS,有效地管理大型数据集.
- 虚拟机资源的选择显著影响实时DAS处理的性能.
- 基于云的解决方案提供了一种可行的方法来应对DAS数据处理挑战.
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