Optimization of Resource Usage for Computer-Based Education through Mobile, Speech and Sky Computing Technology

Abstract:

Cloud computing encompasses any subscription-based or pay-per-use service over the Internet. Using a cloud that is owned by a single service provider has its demerit to the customer such as the risk of downtime or breakdown of equipment arising from disaster that can jeopardize the subscribers’ business. Data security and reliability due to over centralization of company’s data poses a high risk for subscribers, hence a call for distributed cloud also known as Sky Computing. When application is distributed across several clouds with varied interest, infrastructure, policy, etc, the issue therefore will be how to determine the most cost effective cloud during access time. The amount of money a student pays in accessing learning content is determined by how much an institution pay as subscription to cloud providers. The objective of this study is to utilize optimization theory to determine the most cost effective cloud for mobile virtual education in Sky Computing environment. This will be achieved by optimizing resource usage for Computer-based Education through Mobile, Speech and Sky Computing Technology. As a proof of concept, we will design and implement a cloud middle ware (CMW) to interface with an eEducation system.  Access to the eEducation shall be Mobile, Speech and Web. Through the communication platform, the students can communicate with their teacher at any convenient time, and vice versa at the most reduced cost.