Title :
The cost effective structure for designing hybrid cloud based enterprise E-learning platform
Author :
Chuang, Shu-Min ; Chang, Kuo-En ; Sung, Yao-Ting
Author_Institution :
Dept. of Educ. Psychol. & Counseling, Nat. Taiwan Normal Univ., Taipei, Taiwan
Abstract :
The total initial cost of enterprise learning management system is very high on the infrastructure and software applications, so that enterprises start to adopt cloud computing to reduce expenditure on infrastructure, software and IT human resource. The paper provides a cost effective structure of hybrid cloud architecture that has been implemented the multi-tenant model for enterprise to support customization sharing among different virtualized applications in a tenant area. The schema-sharing and multi-tenant data storage architecture also supports the learning content delivery. The important basis for the design method of software development shall embed with the cost effective structure, such as using multithreads to compute background processing and unzip the content files to reduce brand width usage. Even the file sizes of learning content shall be zipped to the less small size and duplicate to different servers for cutting down the traffic flow of brand width. The detailed calculation of the all I/O computer processing and brand width become the crucial implementation way.
Keywords :
business data processing; cloud computing; computer aided instruction; file organisation; multi-threading; software architecture; I/O computer processing; background processing; cloud computing; cost effective structure; customization sharing; enterprise E-learning platform; enterprise learning management system; hybrid cloud architecture; learning content delivery; multitenant data storage architecture; multitenant model; multithread; schema-sharing; software development; virtualized application; Cloud computing; Computational modeling; Computer architecture; Computers; Electronic learning; Fellows; Instruction sets; E-learning; cost-effective design model; hybrid cloud computing; models; multi-tenant;
Conference_Titel :
Cloud Computing and Intelligence Systems (CCIS), 2011 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-61284-203-5
DOI :
10.1109/CCIS.2011.6045123