Research on Digital Economy Information System through Cloud Computing and Big Data Technology

2021 ◽  
Author(s):  
Gaoke Dai
Keyword(s):  
Cloud Computing ◽  
Information System ◽  
Big Data ◽  
Digital Economy ◽  
Big Data Technology

scholarly journals The Construction and Thinking of Cloud Computing and Big Data Technology in Smart Campus

2019 ◽  
Vol 3 (2) ◽  
pp. 152
Author(s):  
Xianglan Wu
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Information Technologies ◽  
Rapid Development ◽  
Smart Campus ◽  
Huge Data ◽  
New Information ◽  
Big Data Technology

<p>In today's society, the rise of the Internet and rapid development make every day produce a huge amount of data. Therefore, the traditional data processing mode and data storage can not be fully analyzed and mined these data. More and more new information technologies (such as cloud computing, virtualization and big data, etc.) have emerged and been applied, the network has turned from informationization to intelligence, and campus construction has ushered in the stage of smart campus construction.The construction of intelligent campus refers to big data and cloud computing technology, which improves the informatization service quality of colleges and universities by integrating, storing and mining huge data.</p>

scholarly journals Big data technology in construction

2019 ◽  
Vol 97 ◽  
pp. 01032 ◽  
Author(s):  
Nikolay Garyaev ◽  
Venera Garyaeva
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Life Cycle ◽  
Construction Industry ◽  
Smart Cities ◽  
Entire Life ◽  
Entire Life Cycle ◽  
Intelligent Buildings ◽  
Big Data Technology

The article presents the results of the analysis of the use of large amounts of data in the construction industry, new trends such as BIM, IOT, cloud computing, intelligent buildings and smart cities with great prospects for application. These problems are related to the presence of huge amounts of data produced by the construction industry during the entire life cycle of a building, which are not fully used for optimizing processes and making decisions in construction.

Cloud Computing Model for Big Geological Data Processing

2013 ◽  
Vol 475-476 ◽  
pp. 306-311 ◽  
Author(s):  
Miao Miao Song ◽  
Zhe Li ◽  
Bin Zhou ◽  
Chao Ling Li
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Parallel Processing ◽  
Data Processing ◽  
Processing Unit ◽  
Geological Data ◽  
Computing Model ◽  
Operation Speed ◽  
Graphics Processing ◽  
Big Data Technology

Geological data with phyletic and various, huge and complex data format, the analysis of geological data processing is mainly divided into three parts: Mines forecast, mine evaluation and mine positioning. Traditional geological data analysis model is limited by limited storage space and computational efficiency, and cannot meet the needs of a large number of geological data fast operations. "Big data technology" provides the ideal solution to the vast amounts of geological data management, information extraction, and comprehensive analysis. For mass storage capacity and high-speed computing power that the "big data technology" need, we built an intelligence systems applied to the analysis of geological data based on MapReduce and GPU double parallel processing cloud computing model. For a large number of geological data, using hadoop cluster system to solve the problem of large amounts of data storage, and designing efficient parallel processing method based on GPU (Graphics Processing Units: calculation of Graphics Processing unit), the method was applied to MapReduce framework, finally completing MapReduce and GPU double parallel processing cloud computing model to improve the operation speed of the system. Through theoretical modeling and experimental verification, indicating that the system can meet the analysis of geological data operation precision, the operation data amount and the operation speed.

scholarly journals Construction of Ecological Environment Information System Based on Big Data: A Case Study on Dongting Lake Ecological Area

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Diandi Wan ◽  
Shaohua Yin
Keyword(s):  
Information System ◽  
Big Data ◽  
Rapid Development ◽  
Dongting Lake ◽  
Ecological Environment ◽  
Ecological Problem ◽  
Collection Data ◽  
Technology Trend ◽  
Big Data Technology

With the rapid development of cloud computing, Internet of Things, and other technologies, the information technology trend led by “big data” has an impact on all fields. The application of big data technology in the field of ecological environmental protection enables accurate and comprehensive ecological information collection, data analysis, and mining, accurate ecological problem identification, and effective solution. Taking Dongting Lake Ecological Area as an example, this paper constructs an ecological environment information system based on big data and expounds its specific application in water, atmosphere, soil environment monitoring, and pollution control, aiming to provide a reference for the application of big data technology in the field of ecological environment protection in Dongting Lake Ecological Area and more effectively maintain the ecological environmental quality and safety in the area.

scholarly journals Modern aspects of the application of information and communication technologies in the management of the statistical industry of the Republic of Uzbekistan

2019 ◽  
Vol 2 (4) ◽  
pp. 70-77
Author(s):  
Zhukovskaya Irina Evgenievna
Keyword(s):  
Information System ◽  
Big Data ◽  
Information And Communication Technologies ◽  
National Economy ◽  
Communication Technologies ◽  
Economic Market ◽  
Managerial Decisions ◽  
Information And Communication ◽  
The Republic ◽  
Big Data Technology

This article discusses the modern aspects of the application of information and communication technologies (ICT) in the management of the statistical industry of the Republic of Uzbekistan. The article shows that at present, ICTs are an important factor in the development of industries and spheres of the national economy. An information system has been formed in the statistical industry, which is currently being transformed under the influence of advanced technological solutions, including big data technology, which contributes to the competent adoption of managerial decisions and the effective functioning of the industry in the economic market.

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