Distributed Parallel Estimation for Global Ionospheric Modeling

WANG Cheng; MAO Dazhi; SHI Chuang; ZHANG Hongping

doi:10.13203/j.whugis20160274

Volume 43 Issue 8

Aug. 2018

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Geomatics and Information Science of Wuhan University > 2018 > 43(8): 1207-1213. > DOI: 10.13203/j.whugis20160274

WANG Cheng, MAO Dazhi, SHI Chuang, ZHANG Hongping. Distributed Parallel Estimation for Global Ionospheric Modeling[J]. Geomatics and Information Science of Wuhan University, 2018, 43(8): 1207-1213. DOI: 10.13203/j.whugis20160274

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Distributed Parallel Estimation for Global Ionospheric Modeling

1.
Collaborative Innovation Center for Geospatial Information Technology, Wuhan 430079, China
2.
GNSS Research Center, Wuhan University, Wuhan 430079, China
3.
School of Electronic Information Engineering, Beihang University, Beijing 100083, China

Funds:

The National Key Research and Development Program of China 2016YFB0501802

China Postdoctoral Science Foundation 2016M600613

Fundamental Research Funds for the Central Universities 2042016kf0061

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Author Bio:
WANG Cheng, PhD, specializes in ionosphere models. E-mail:acex@foxmail.com
Received Date: October 27, 2016
Published Date: August 04, 2018

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Abstract

Abstract

A framework of distributed parallel computing is proposed and developed to meet the performance and requirements of GNSS data processing. Global ionospheric modeling by using distributed parallel estimation is performed based on this framework. The efficiency of global ionospheric modeling is tested and analyzed by using single computer with multi threads and multi computers with distributed parallel computing respectively. The results indicate multi-threaded parallel computing can promote the efficiency significantly. The efficiency is promoted to the highest when the number of threads is set to equal to the number of CPU cores. Also, the efficiency can be further enhanced by using multi computers with distributed parallel computing. The time consumption of modeling can be reduced approximately 60% by using 4 desktop computers compared to using single desktop computer. If 2 servers are used for modeling, the time can be reduced approximately 18% compared to using one server. Multi computers are organized for distributed parallel computing to promote the efficiency of global ionospheric modeling. It's very helpful for fast releasing of ionosphere products, algorithm testing of modeling and so on. It also has good reference value to multi-GNSS precise orbit determination and positioning as well as estimation of huge GNSS network.
- global ionospheric model,
- spherical harmonic function,
- total electron content,
- distributed,
- parallel computing

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