DocumentCode :
2012017
Title :
The design of load-balancing LMS based on decomposition structure
Author :
Chien, Tzu-Chao ; Kao, Fu-Chien
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., DAYEH Univ., Taiwan
fYear :
2005
fDate :
5-8 July 2005
Firstpage :
783
Lastpage :
787
Abstract :
This study brings up a learning management system with load-balancing function that allows for the integration of learning resources and balance of network traffic. The system consists of the learning management system (LMS) for processing basic data, learning data and learning records of learners, and the learning content management system (LCMS) for managing and storing course resources. The Web service cross-platform distribution configuration of this study provides common communications between systems and enhances the capability of integrating learning resources. The architecture of the system ensures a load-balancing functionality for LCMS of different domains. The connection program embedded in the PC of the learner via LMS connects to the LCMS broker server for access to required teaching materials from each LCMS. The LCMS with the minimum load is then selected from suitable LCMS as the source of the teaching materials. Since the SCORM (sharable course object reference model) standard integrates teaching materials and platforms using JAVA script, cross-domain scripting issues may occur when the learning system and course resources are stored in subsystems of two different domains. This study proposes a SCORM learning environment by creating a cross-domain server with URL-rewrite technology to provide a solution for this issue.
Keywords :
Internet; computer aided instruction; content management; distributed object management; resource allocation; Java script; LCMS broker server; SCORM learning; URL-rewrite technology; Web service cross-platform distribution; course resource; cross domain server; cross-domain scripting issue; decomposition structure; learning content management system; learning data; learning record; learning resources; load-balancing LMS; load-balancing functionality; network traffic; sharable course object reference model; Computer network management; Computer science; Content management; Design engineering; Education; Least squares approximation; Resource management; Standards development; Telecommunication traffic; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies, 2005. ICALT 2005. Fifth IEEE International Conference on
Print_ISBN :
0-7695-2338-2
Type :
conf
DOI :
10.1109/ICALT.2005.264
Filename :
1508816
Link To Document :
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