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2021-09-06 12:00

OSADL Talks at EWC 2022

All about legal and technical issues and solutions when using Open Source software in industry

2021-02-09 12:00

Open Source OPC UA PubSub over TSN project phase #3 launched

Letter of Intent with call for participation is now available

2016-11-12 12:00

Raspberry Pi and real-time Linux

Let's have a look at the OSADL QA Farm data

2016-09-17 12:00

Preemption latency of real-time Linux systems

How to measure it – and how to fix it, if it's too high?

Details of the Real Time Linux Foundation Working Group Project

OSADL Project: Real Time Linux Workshops

Real Time Linux Foundation Workshops since 1999

Real Time Linux Workshops

1999 - 2000 - 2001 - 2002 - 2003 - 2004 - 2005 - 2006 - 2007 - 2008 - 2009 - 2010

Eighth Real-Time Linux Workshop on October 12 to 15, 2006, in Lanzhou, Gansu, P.R.China

The Data Platform of Field Observation Stations Base on Grid Environment

Zhang Yaonan, Zhang Baoshan, Lu Yu, Gao Meirong,
Kang Jianfang, and Zhao Xueru
Cold and Arid Regions Environmental and Engineering Research Institute, CAS
320 Donggang West Road Lanzhou, Gansu 730000, China
Gansu High Performance & Grid Computing Center
Lanzhou, Gansu 730000, China
Institute of Mountain Hazards and Environment, CAS
\#.9, Block 4 , Renmingman Road, Chengdu, 610041, China

The Data Platform of Resource and Environmental Science is a foundation of data and model simulation for geography research, and the data mainly comes from several field observation stations in distributed location, spatial observation data such as MODIS and some data service site such as USGS of internet. The data collection, management, assimilation and the service of share is a main task of the Data Platform. According to the distributed characteristic of the data source dispersion and the service object and new technology of the Grid environment, in this paper we discuss the foundation of the Data Platform of the field observation stations' Resource and Environmental Science, and the process framework of the data gathers with the management, and defined and analyzed the key functions and implementary techniques for each module. Base on simulated the environment of the field observation stations in Linux operation system, we validate some functionality test about the key techniques and pathway for data replication, data synchronization and a uniform data service in data platform, and using acquired some techniques to build a primary Data Platform of the field observation stations' Resource and Environmental Science on Grid environment.


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