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Distributed collaborative analysis system and method for massive climate model output data

A technology for outputting data and analyzing systems, applied in the field of distributed collaborative analysis systems, can solve problems such as data redundancy and long time, and achieve the effect of improving efficiency and reducing data redundancy

Active Publication Date: 2018-12-11
TSINGHUA UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] Aiming at the defects in the prior art that it is necessary to download a large amount of model output data to the local area and cause a large amount of data redundancy, the present invention provides a distributed collaborative analysis system and method for massive climate model output data

Method used

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  • Distributed collaborative analysis system and method for massive climate model output data
  • Distributed collaborative analysis system and method for massive climate model output data
  • Distributed collaborative analysis system and method for massive climate model output data

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Embodiment Construction

[0049] The technical solution of the present invention will be further described in detail in conjunction with the accompanying drawings and embodiments.

[0050] figure 1 A schematic diagram showing the structure of a distributed collaborative analysis system for massive climate model output data in this embodiment, as figure 1 As shown, a distributed collaborative analysis system for massive climate model output data provided by this embodiment includes:

[0051] Central server, multiple node servers and at least one Web front-end service device;

[0052] The central server is used to store global data information and node server information;

[0053] The node server is used for storage and management of node data information, task analysis scheduling management, and data analysis and processing;

[0054] The Web front-end service device is used for user information maintenance, data information retrieval, task submission, analysis task status query, and analysis result v...

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Abstract

The invention particularly relates to a distributed collaborative analysis system and method of massive climate pattern model output data. The system comprises a central server, a plurality of node servers, and at least one piece of Web front-end service equipment. The central server is used for storing global data information and node server information; the node servers are used for storing and managing node data information, performing task analysis scheduling management and data analysis processing; the Web front-end service equipment is used for user information maintenance, data information retrieval, task submission, analysis task status query and analysis result query and downloading. The data analysis work is finished at each node server, so that the data redundancy is reduced. The plurality of node servers are capable of collaboratively working, the contrastive analysis of the massive climate pattern model output data can be executed in a distributed manner, and an analysis result can be acquired on-line. Finally, the efficiency of the research work is greatly improved.

Description

technical field [0001] The invention relates to the technical field of data analysis and processing, in particular to a distributed collaborative analysis system and method for massive climate model output data. Background technique [0002] Earth system models are one of the most important scientific tools for global change studies. It uses numerical simulation methods to study the connection and evolution of the various layers of the earth, understand the past climate evolution process and predict possible future global climate changes. Models simulating different Earth system processes generate large amounts of output data. According to statistics, in The Program for Climate Model Diagnosis and Intercomparison (CMIP) of the Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change (IPCC). ), each model data center contributed more than 1.5PB of output data. Researchers need to conduct qualitative and quantitative comparative analysis of the output ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCY02A90/10
Inventor 白玉琪杨军徐灏
Owner TSINGHUA UNIV
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