Based on coal mine internet of integration of the cloud computing platform architecture

2015 ◽  
pp. 75-78
Keyword(s):  
Cloud Computing ◽  
Coal Mine ◽  
Computing Platform ◽  
Platform Architecture ◽  
Cloud Computing Platform

The Research of Energy Consumption Control of Tobacco Information Based on Cloud Computing

2014 ◽  
Vol 915-916 ◽  
pp. 1393-1396
Author(s):  
Xue Feng Jiang ◽  
Zheng Min Wang ◽  
Hui Liang Dong ◽  
Wei Li
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Resource Utilization ◽  
Effective Control ◽  
Enterprise Information ◽  
Computing Platform ◽  
Management Platform ◽  
Platform Architecture ◽  
Cloud Computing Platform ◽  
Consumption Control

With the development of technology and enterprise information resources utilization improving system reliability requirements, cloud computing is becoming more and more widely used. To improve the tobacco resource utilization of a lot of information and increase reliability of resource platform, this article is based on cloud computing technology, to research the use of virtualization technology on tobacco cloud computing platform architecture carried on the system design, and studies the tobacco cloud management platform, based on effective control of tobacco information resource utilization and energy consumption, to improve the reliability of the resource platform, having the vital significance to the development of the tobacco industry.

scholarly journals Analysis of Blended Learning Scheme Based on Cloud Computing Assisted Instructions

2016 ◽  
Vol 11 (03) ◽  
pp. 51 ◽  
Author(s):  
Zeyu Sun ◽  
Yunxing Shu
Keyword(s):  
Cloud Computing ◽  
Blended Learning ◽  
Computing Technology ◽  
Computing Platform ◽  
Platform Architecture ◽  
Learning Scheme ◽  
Depth Study ◽  
Application Characteristics ◽  
Cloud Computing Platform ◽  
Learning Interest

With the development of science and technology, cloud computing technology has been widely applied in a variety of engineering fields, while its application and promotion in the education is always neglected. In this paper, the cloud computing assisted hybrid learning scheme is put forward based on the analysis of the cloud computing technology and the hybrid method. Firstly, the cloud computing platform architecture and key technology are explained. Secondly, the four stages of the blended learning scheme model are established in accordance with its guiding ideology and construction principle. Furthermore, the four stages are given a detailed description and analysis in which seven blended teaching links are concluded in combination with Baihui cloud platform application characteristics. Finally, the scores from students of different grades and different years are compared. The comparison result verifies the blended learning scheme is effective in the classroom, and is helpful to stimulate the students’ learning interest and enthusiasm, which is significant for the further in-depth study.

Power Management of Virtualized Cloud Computing Platform

2012 ◽  
Vol 35 (6) ◽  
pp. 1262 ◽  
Author(s):  
Ke-Jiang YE ◽  
Zhao-Hui WU ◽  
Xiao-Hong JIANG ◽  
Qin-Ming HE
Keyword(s):  
Cloud Computing ◽  
Power Management ◽  
Computing Platform ◽  
Cloud Computing Platform

Predicting Node Failures in an Ultra-Large-Scale Cloud Computing Platform

2020 ◽  
Vol 29 (2) ◽  
pp. 1-24
Author(s):  
Yangguang Li ◽  
Zhen Ming (Jack) Jiang ◽  
Heng Li ◽  
Ahmed E. Hassan ◽  
Cheng He ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Computing Platform ◽  
Cloud Computing Platform ◽  
Node Failures

In defense of decentralized research data management

Neuroforum ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Michael Hanke ◽  
Franco Pestilli ◽  
Adina S. Wagner ◽  
Christopher J. Markiewicz ◽  
Jean-Baptiste Poline ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Management ◽  
Research Data ◽  
Data Archive ◽  
Individual Scientist ◽  
Computing Platform ◽  
Research Data Management ◽  
Cloud Computing Platform ◽  
Research Objects ◽  
Central Services

Abstract Decentralized research data management (dRDM) systems handle digital research objects across participating nodes without critically relying on central services. We present four perspectives in defense of dRDM, illustrating that, in contrast to centralized or federated research data management solutions, a dRDM system based on heterogeneous but interoperable components can offer a sustainable, resilient, inclusive, and adaptive infrastructure for scientific stakeholders: An individual scientist or laboratory, a research institute, a domain data archive or cloud computing platform, and a collaborative multisite consortium. All perspectives share the use of a common, self-contained, portable data structure as an abstraction from current technology and service choices. In conjunction, the four perspectives review how varying requirements of independent scientific stakeholders can be addressed by a scalable, uniform dRDM solution and present a working system as an exemplary implementation.

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