Cloud Computing and Its Application in Big Data Processing of Distance Higher Education

Authors

  • Guolei Zhang College of information science & technology, Agricultural University of Hebei
  • Jia Li Department of modern Science & Technology, Agricultural University of Hebei
  • Li Hao Personnel Division, Agricultural University of Hebei

DOI:

https://doi.org/10.3991/ijet.v10i8.5280

Keywords:

Cloud computing, Hadoop, Map-Reduce, Distance Higher Education, Parallel k-means clustering algorithm

Abstract


In the development of information technology the development of scientific theory has brought the progress of science and technology. The progress of science and technology has an impact on the educational field, which changes the way of education. The arrival of the era of big data for the promotion and dissemination of educational resources has played an important role, it makes more and more people benefit. Modern distance education relies on the background of big data and cloud computing, which is composed of a series of tools to support a variety of teaching mode. Clustering algorithm can provide an effective evaluation method for students' personality characteristics and learning status in distance education. However, the traditional K-means clustering algorithm has the characteristics of randomness, uncertainty, high time complexity, and it does not meet the requirements of large data processing. In this paper, we study the parallel K-means clustering algorithm based on cloud computing platform Hadoop, and give the design and strategy of the algorithm. Then, we carry out experiments on several different sizes of data sets, and compare the performance of the proposed method with the general clustering method. Experimental results show that the proposed algorithm which is accelerated has good speed up and low cost. It is suitable for the analysis and mining of large data in the distance higher education.

Author Biographies

Guolei Zhang, College of information science & technology, Agricultural University of Hebei

He obtained a master degree of agronomy from Agricultural University of Hebei in July.2007, and now works at College of Information Science and Technology in Agricultural University of Hebei as the vice dean and vice professor, studying in application of novel science and theories in management of college students.

Jia Li, Department of modern Science & Technology, Agricultural University of Hebei

She obtained a Master degree in Agricultural Extension in July, 2015. At present, she works as instructor at College of Modern Science and Technology of Agricultural University of Hebei. Her title is lecturer. Her research field is education and management of college students.

Li Hao, Personnel Division, Agricultural University of Hebei

She obtained master degree of engineering from Agricultural University of Hebei, and now works at Agricultural University of Hebei as a lecturer, studying in ideological and political education.

Downloads

Published

2015-12-14

How to Cite

Zhang, G., Li, J., & Hao, L. (2015). Cloud Computing and Its Application in Big Data Processing of Distance Higher Education. International Journal of Emerging Technologies in Learning (iJET), 10(8), pp. 55–58. https://doi.org/10.3991/ijet.v10i8.5280