Gamundani, Attlee Munyaradzi (2011) A Cloud Computing Architecture for e-Learning Platform, Supporting Multimedia Content. Masters thesis, University of Zimbabwe.
![[img]](http://thesisbank.jhia.ac.ke/style/images/fileicons/application_pdf.png) |
PDF (A Cloud Computing Architecture for e-Learning Platform, Supporting Multimedia Content)
Gamundani, Attlee Munyaradzi.pdf - Accepted Version Restricted to Repository staff only Download (2MB) | Request a copy |
Abstract
E-learning based platforms that support multimedia content to enhance interactive learning demands large disk space. Despite research ground covered under e-learning circles, less attention has been devoted to solicit the best methods to address the disk space challenge at minimal cost. This research focuses on advancing a best architecture that meet the need for storage space when developing interactive multimedia e-learning based portals. The research aim is met through an extensive study of relevant research work already covered and through implementation of the findings by simulation of the identified and reconfigured architecture – a Cloud Computing IAAS. The latter was achieved through use of the CloudSim toolkit. Some of the key findings of this research are that: to precisely test the performance of viable architectures, there has to be a robust platform for such experiments. The main conclusions drawn from this research were that, there is room to improve on existing architectures to scale down on development costs so attributed to e-learning portals that are interactive in stature. Storage can be built from exiting personal computers through harnessing the cloud computing functionality design as most of the personal computers are not fully being used by their owners. This research culminate by recommending the need to explore on best simulator packages that can be used to test the functionality of cloud computing based architectures as this area is still very tentative and lacking in coverage, yet a vital tool for advising the adoptability of emerging solutions which are hosted in the cloud.
| Item Type: | Thesis (Masters) |
|---|---|
| Subjects: | L Education > LC Special aspects of education Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Africana |
| Depositing User: | Tim Khabala |
| Date Deposited: | 04 May 2018 07:53 |
| Last Modified: | 04 May 2018 07:53 |
| URI: | http://thesisbank.jhia.ac.ke/id/eprint/3959 |
Actions (login required)
 |
View Item |