Computing, Control, Information and Education Engineering: by Hsiang-Chuan Liu, Wen-Pei Sung, Wenli Yao

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By Hsiang-Chuan Liu, Wen-Pei Sung, Wenli Yao

This lawsuits set includes chosen computing device, info and schooling expertise comparable papers from the 2015 foreign convention on computing device, clever Computing and schooling know-how (CICET 2015), to be held April 11-12, 2015 in Guilin, P.R. China. The complaints goals to supply a platform for researchers, engineers and lecturers in addition to execs from around the globe to provide their examine effects and improvement actions in computing device technology, info expertise and schooling expertise

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Additional resources for Computing, Control, Information and Education Engineering: Proceedings of the 2015 Second International Conference on Computer, Intelligent and ... 2015), April 11-12, 2015, Guilin, P.R. China

Sample text

There are two research purposes: one is from the current E-Learning provider initiated, and more for corporate training; another sponsored by educational institutions, to improve teaching, learning and management. 1 Cloud computing Cloud computing is a style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet. It includes the distributed computing, parallel computing, utility computing, network storage, virtualization, load balancing, hot standby redundancy and other technology, is a fusion of traditional computer and network technology development.

On the other hand, the system ensures the accuracy of the information exchange and the reliability and timeliness of the management data processing. The system can improve the work efficiency, which is important to the process of the modernization in the management of postgraduate education. Meanwhile, it also provides an assistant tool for the leadership to make the decision in the education reform. Table 1. Authorization of system users. Authorization Information services Information modification print System administrator √ √ √ Ordinary users √ user √ the supervisor information management system are shown in Table 1.

The total cost of distributed heterogeneous database is shown in formula (1): The distributed heterogeneous database system is united in logical, but separate in physical. Due to the heterogeneous characteristics of distributed heterogeneous database system, the query process becomes more complex, reducing the query efficiency of the database in a large degree. Some scholars introduced the optimization algorithm to reduce the amount of data transmission for solving the problem of inefficiency. Comparing with the optimizing strategies that based on graph theory, dynamic programming, heuristic query [1] and other traditional optimization strategies, genetic algorithm has a better optimization efficiency in query optimization problem of distributed heterogeneous database.

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