Management platform for Cloud Computing

2015 ◽  
Author(s):  
Omar Sefraoui ◽  
Mohammed Aissaoui ◽  
Mohsine Eleuldj
Keyword(s):  
Cloud Computing ◽  
Management Platform

Cloud Computing for the Virtual Comprehensive Management Platform Design

2012 ◽  
Vol 482-484 ◽  
pp. 1520-1523
Author(s):  
Bing Wang ◽  
Yan Ling Zou ◽  
Qi Man Wu ◽  
Zhong Ren Guan
Keyword(s):  
Cloud Computing ◽  
Web Services ◽  
Virtual Machine ◽  
Campus Network ◽  
Network Integration ◽  
Comprehensive Management ◽  
Management Platform ◽  
Management Efficiency ◽  
Information Construction ◽  
Speed Up

With the in-depth development of informatization construction, various business gradually campus network integration. Our school VMware to the virtualization based on various departments to provide hosting services, but in the virtual machine application and management in the process of maintaining involved a lot of artificial operation, constitute the bottleneck management. Thus use cloud computing to design virtual comprehensive management platform, and with web services for the virtual machine as an example to introduce the function of the platform. This platform has significant meaning to improve management efficiency of virtual machine and speed up our school information construction pace.

Research on Key Technologies of Massive Videos Management Under the Background of Cloud Platform

2019 ◽  
Vol 23 (1) ◽  
pp. 72-77
Author(s):  
Lin Jin ◽  
◽  
Changhong Yan
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Management System ◽  
Rapid Development ◽  
Mobile Internet ◽  
Video Data ◽  
Cloud Platform ◽  
Module Design ◽  
Management Platform ◽  
Key Technologies

With the rapid development of mobile internet and smart city, video surveillance is popular in areas such as transportation, schools, homes, and shopping malls. It is important subject to manage the massive videos quickly and accurately. This paper tries to use Hadoop cloud platform for massive video data storage, transcoding and retrieval. The key technologies of cloud computing and Hadoop are introduced firstly in the paper. Then, we analyze the functions of video management platform, such as user management, videos storage, videos transcoding, and videos retrieval. According to the basic functions and cloud computing, each module design process and figure are provided in the paper. The massive videos management system based on cloud platform will be better than the traditional videos management system in the aspects of storage capacity, transcoding performance and retrieval speed.

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.

Establishment of Pavement Information Decision Management Platform via Cloud Computing Technology

2013 ◽  
Vol 723 ◽  
pp. 829-837 ◽  
Author(s):  
Chih Chung Yang ◽  
Jyh Dong Lin
Keyword(s):  
Cloud Computing ◽  
Management System ◽  
Control Function ◽  
Pavement Management ◽  
Pavement Management System ◽  
Study Objective ◽  
History Data ◽  
Management Platform ◽  
Decision Management

With the time progress and constant promotion of information technology, the living quality of people is improved relative to economic development and people constantly demand the government to improve service effectiveness. In order to save manpower and material resources, it is an inevitable trend for road authorities to develop pavement management system of government electronization. However, the existing pavement management systems at home mainly comprise basic investigation data on road condition, current situation analysis and suggestion of maintenance threshold, road maintenance priority decision analysis and other management purposes, so as to promote the efficiency and quality of pavement management operation. While, most of the systems have the disadvantages of different maintenance planning decision making approaches, insufficient project construction history data, chaotic use of drawings, too little available knowledge, failure to integrate information and so on, so it is unable to establish an effective system to assist engineers as the control function, which causes a major obstacle relative to the development of pavement management system. The loss of pavement engineering history data with time would cause difficulty in data collection for future pavement analysis. Therefore, how to resolve the above problems becomes a major assistance for the future pavement maintenance knowledge decision management. The study establishes cloud computing pavement information decision management platform in the form of implementation via Google public cloud computing, validates the feasibility through practical cases, utilizes cloud drive real-time data processing, electronic document management, graphical pavement information and figuration management analysis through the software provided by Google, improves the budget for control efficiency and enhances the promotion of pavement management system, so as to accord with the study objective.

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