Open AccessBig Data X-Learning Resources Integration and Processing in Cloud Environments
Author(s) -
Xiangming Kong
Publication year - 2014
Publication title -
international journal of emerging technologies in learning/international journal: emerging technologies in learning
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.454
H-Index - 24
eISSN - 1868-8799
pISSN - 1863-0383
DOI - 10.3991/ijet.v9i5.3783
Subject(s) - cloud computing , computer science , flexibility (engineering) , process (computing) , architecture , distributed computing , data science , database , artificial intelligence , operating system , mathematics , visual arts , art , statistics
The cloud computing platform has good flexibility characteristics, more and more learning systems are migrated to the cloud platform. Firstly, this paper describes different types of educational environments and the data they provide. Then, it proposes a kind of heterogeneous learning resources mining, integration and processing architecture. In order to integrate and process the different types of learning resources in different educational environments, this paper specifically proposes a novel solution and massive storage integration algorithm and conversion algorithm to the heterogeneous learning resources storage and management cloud environments