在使用基于云的服务的远程分布式声学传感 (DAS) 中设计和评估实时数据存储和信号处理
Abdusomad Nur1,2, Yonas Muanenda2
1Addis Ababa Institute of Technology, Addis Ababa University, King George VI St, Addis Ababa 1000, Ethiopia.
Sensors (Basel, Switzerland)
|September 28, 2024
概括
本研究介绍了一种高效的基于云的管道,用于使用亚马逊网络服务 (AWS) DynamoDB 管理大型分布式声学传感 (DAS) 数据,优化实时监控和数据处理. 使用CloudSim的性能评估展示了DAS可扩展的云计算,突出了资源优化以实现高效的数据分析.
科学领域:
- 地质物理学 地质物理学
- 数据科学数据科学数据科学
- 云计算 云计算 云计算
背景情况:
- 从分布式声学传感 (DAS) 管理庞大的数据集带来了重大的存储和处理挑战.
- 需要高效的基于云的解决方案来实时分析远程DAS数据.
研究的目的:
- 为DAS.开发和评估一个高效的基于云的数据管理管道.
- 使用CloudSim框架评估DAS数据处理云计算系统的性能.
主要方法:
- 实施了管道系统,以有效地将大量DAS数据传输到亚马逊网络服务 (AWS) 的DynamoDB.
- 利用CloudSim框架来评估用于DAS数据计算的各种虚拟机 (VM) 配置的性能.
主要成果:
- DynamoDB管道实现了低延迟 (每批40毫秒),并证明了DAS数据存储的可扩展性.
- 云Sim分析显示,VM性能,处理元素和MIPS显著影响处理时间,最佳的资源配置对效率至关重要.
- 增加的光纤长度和数据量显示提高了处理效率,适合实时监控.
结论:
- 拟议的基于DynamoDB的管道为基于云的DAS数据管理提供了一个可扩展和低延迟的解决方案.
- 云计算资源可以有效地优化DAS数据处理,确保高效的实时监控和特征提取.
- 对资源优化的进一步研究可以提高基于云的DAS系统的性能和成本效益.
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