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

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.

2012 ◽  
Vol 542-543 ◽  
pp. 1271-1274
Author(s):  
Yu Bo Song ◽  
Zhao Yuan Jiang

Enterprise asset management system can help to reduce operating costs, improve the management level of enterprise, and the relevant industry expert knowledge contained in this system can provide a unified management platform for all key assets of enterprise. To build an information center of enterprise asset management that is cross-industry and cross-area, cloud computing technology should be introduced to build cloud computing platform of asset management. The construction needs of asset management cloud platform are analyzed, and the cloud computing characteristics of platform construction is studied in this paper. Afterwards, the system architecture and key technologies of constructing the cloud computing platform for enterprise asset management are put forward.


2015 ◽  
Vol 713-715 ◽  
pp. 2467-2470
Author(s):  
Liang Hao ◽  
Gang Cui ◽  
Ming Cheng Qu ◽  
Wen De Ke

With the shortage of energy and global climate warming, as well as the low-carbon economy and green computing coming, the energy consumption of cloud computing has become a critical issue, and even the economic benefits of cloud computing has been widely discussion. In view of the phenomenon of energy is wasted seriously in cloud computing, the energy optimization techniques in cloud computing platform have been studied and summarized in this paper. The concept, characteristics and development of cloud computing are introduced firstly. And then the existing energy consumption optimization approaches of cloud computing are studied deeply. The opening and closing techniques, dynamic voltage adjustment technology, virtual energy-saving technology and resource scheduling optimization technology are studied deeply. Finally, the contents are summarized and the future is looked forward.


Author(s):  
Zeyu Sun ◽  
Yunxing Shu

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.


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

2020 ◽  
Vol 29 (2) ◽  
pp. 1-24
Author(s):  
Yangguang Li ◽  
Zhen Ming (Jack) Jiang ◽  
Heng Li ◽  
Ahmed E. Hassan ◽  
Cheng He ◽  
...  

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