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Title: |
A Performance Study of Learning Content Retrieval on Hadoop Cloud Environments |
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Source: |
Proceedings of 2010 Cross-Strait Conference on Information Science and Technology (CSCIST 2010 E-BOOK)
(pp 485-488)
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Author(s): |
Wenchung Shih, Department of Information Science and Applications, Asia University, Taichung
Shianshyong Tseng, Department of Computer Science and Information Engineering, Tunghai University, Taichung
Chaotung Yang, Department of Computer Science and Information Engineering, Tunghai University, Taichung |
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Abstract: |
Content retrieval is important for the development of e-learning applications. However, existing information retrieval techniques focus on keyword-level processing, rarely considering metadata, structural information and semantics of contents. In fact, content retrieval can increase learning performance by supporting pedagogical theories and models, such as instructional strategies, learning styles, etc. Recently, cloud computing attracts a lot of attention from stakeholders of e-learning. It is promising to share learning content on cloud environments. Therefore, the architecture of a learning content retrieval system is proposed to use cloud computing technologies to store learning content and to support efficient content retrieval. To evaluate the performance of index creation, a cloud test-bed is built using Hadoop, which is an open source implementation of cloud-related technologies. The results of evaluation show that the execution time of index creation is scalable to the size of databases.
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