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Hybrid Federated Computing Solution for e-learning in Thailand

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dc.contributor.advisor Dr. Matthew Dailey (Chairperson)
dc.contributor.author Chaimongkol, Phattarachai
dc.contributor.other Prof. Kanchana Kanchanasut (Member) Dr. Vatcharaporn Esichaikul (Member)
dc.date.accessioned 2015-01-21T05:59:46Z
dc.date.available 2015-01-21T05:59:46Z
dc.date.issued 2013-05
dc.identifier.other AIT Thesis no.CS-13-01 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/690
dc.description.abstract This thesis proposes a federated computing architecture for e-learning based on cloud computing concepts. The proposed architecture is capable of running a nation-wide contentsharing e-learning system that is scalable, reliable, and available. The e-learning system could potentially be a large-scale public learning content repository to which teachers could publish new learning content, making it available to students at any school. The architecture also enables remote hosting of locally accessible e-learning systems for individual schools, running in a cloud environment. This feature could eliminate much of the burden of IT infrastructure management schools face, thus improving schools’ ability to exploit and provide access to e-learning systems, particularly those in rural areas. A complete implementation of the federated cloud infrastructure could significantly reduce overall costs to support schools and students. Schools could focus on providing bandwidth, not additional IT infrastructure for running e-learning applications, and students would only require a device with Internet access, such as a PC or a tablet device. Cloud computing can increase resource sharing, increase access to content, and increase system security. Applications could be dynamically scaled based on the number of students enrolled in a particular semester. A prospective data center size estimate made in this study shows that a cluster consisting of only 30 physical cloud compute nodes could host a shared e-learning system for the entire school system in Thailand, and a 1,750 compute node data center could enable every school in Thailand to own at least one e-learning application instance. Implementing this federated computing architecture could help leverage existing educational quality in Thailand and dramatically expand access to high-quality educational content. iii en_US
dc.description.sponsorship Royal Thai Government Fellowship en_US
dc.publisher AIT en_US
dc.title Hybrid Federated Computing Solution for e-learning in Thailand en_US
dc.type Thesis en_US

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