环境遥感云服务平台与高性能平台对比分析

Comparison and analysis of cloud service platform and high performance platform for environmental remote sensing

云计算技术迅猛发展并不断开拓应用行业。为探索云计算技术在环境遥感领域的应用,基于虚拟化、大数据技术,研究环境遥感数据处理云服务平台架构、网络拓扑和服务功能,选取138景高分一号卫星数据进行产品生产实验,对比分析云服务平台和高性能平台在海量遥感数据处理中的效率。实验证明,在现有运行环境下,高性能平台数据处理效率是云服务平台的2.5倍左右。总体而言,相对于云服务平台,专用的高性能计算处理平台在计算、通信和存储等方面具有一定优势,更适合海量环境遥感数据的高效处理和参数产品反演。

Cloud computing technology is developing rapidly and constantly expanding the application range.For exploring the cloud computing technology in the field of environmental remote sensing application,this paper discusses some key techniques of cloud computing based on virtualization and big data technology,which include architecture design,network topology and service function.138 images of GF-1 satellite were selected for production experiments for comparing and analyzing the efficiency of cloud service platform and high performance platform in mass remote sensing data processing.Experiments show that the data processing efficiency of high performance cluster platform is about 2.5 times higher than that of cloud service platform under the existing operating environment.In general,compared with cloud service platform,dedicated high performance computing and processing platform has certain advantages in computing,communication and storage.It is more suitable for massive environmental remote sensing data processing and quantitative retrieval with efficiency.