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

doi:10.6046/gtzyyg.2019.02.33

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Abstract

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.

Keywords cloud service platform environmental remote sensing data processing high performance platform

TP32

Corresponding Authors: Zhongping SUN E-mail: sunnybnu114@163.com

Issue Date: 23 May 2019

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	Yuanli SHI
	Zhongping SUN
	Jun JIANG
	Qian GAO
	Hao SUN
	Ruihong WEN

Cite this article:

Yuanli SHI,Zhongping SUN,Jun JIANG, et al. Comparison and analysis of cloud service platform and high performance platform for environmental remote sensing[J]. Remote Sensing for Land & Resources, 2019, 31(2): 240-245.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2019.02.33 OR https://www.gtzyyg.com/EN/Y2019/V31/I2/240

Fig.1 Architecture design of environmental remote sensing cloud service platform

Fig.2 Network structure of environmental remote sensing cloud service platform

Fig.3 Service function of environmental remote sensing figure cloud service platform

Tab.1 Software configuration of environmental remote sensing cloud services platform

Tab.2 Hardware configuration of environmental remote sensing cloud services platform

Tab.3 Correlation of hardware environment between cloud platform and high performance platform

Tab.4 Correlation of efficiency between cloud platform and high performance platform(min)

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