列存储可以在5G网络上对生物大数据进行边缘计算
Miaoshan Lu1,2,3,4, Junjie Tong4, Weidong Fang5
1Zhejiang University, Hangzhou 310009, Zhejiang Province, China.
Mathematical biosciences and engineering : MBE
|November 3, 2023
概括
5G网络中的边缘计算增强了生物数据分析. 一种新的质谱数据格式,Aird-Slice,使用列存储将数据压缩48%,加快分析,减少中央服务器负载.
科学领域:
- 生物技术是生物技术.
- 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:
- 生物检测技术产生了大量的数据集,压倒了中央服务器.
- 5G网络中的边缘计算为高性能生物数据分析提供了解决方案,改善了带宽和安全性.
研究的目的:
- 引入有效的数据压缩和阅读策略,用于在生物数据分析中实施边缘计算.
- 介绍Aird-Slice,一种使用列存储策略的新型质谱数据格式.
主要方法:
- 实施了质谱数据的列存储策略.
- 使用对质谱学事先知识进行重新组织的数据结构.
- 开发了空气切片数据格式.
主要成果:
- 与供应商文件相比,Aird-Slice可以减少48%的质谱数据量.
- 离子色谱提取速度通过Aird-Slice.增加了平均116倍.
- 启用边缘计算用于5G网络上的生物数据分析.
结论:
- 空气切片有效地压缩质谱数据并加速分析.
- 列式存储策略是实现大型生物数据集边缘计算的关键.
- Aird-Slice在科学仪器附近促进了高效的生物数据处理,减少了中央服务器的压力.
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