Optimizing Educational Access: Identifying the Ideal Cloud Solution for Student Learning App in African Contexts
Manzoor, Nimuna (2024)
Manzoor, Nimuna
2024
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024052918117
https://urn.fi/URN:NBN:fi:amk-2024052918117
Tiivistelmä
This thesis investigates cloud computing solutions for educational applications within African contexts, focusing on their role in enhancing educational access. Through this study, we assess the capability of cloud technology to offer secured, scalable, adaptable, and cost-effective solutions for the deployment of such an e-learning application. The main objective is to identify the ideal cloud solution for student learning app in African contexts.
Hence, we evaluate the key features, services, and compatibilities of the world's leading cloud solutions, i.e., Microsoft's Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP) and the Africa Data Centre, regional provider. These cloud solutions are assessed against the major criteria for their affordability, reliability, scalability, data security, local laws compliance, and technical support availability.
Comparative analysis presents the Africa Data Centres as unique for having regional focus, data spread across the continent, and easily accessible technical support platform. It is recommended that further research is required to have a more concrete decision with the analysis of both primary and secondary data, numerical cost analysis, and evaluating the different cloud solutions modalities like, on premise, hybrid, or third-party solution providers.
Hence, we evaluate the key features, services, and compatibilities of the world's leading cloud solutions, i.e., Microsoft's Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP) and the Africa Data Centre, regional provider. These cloud solutions are assessed against the major criteria for their affordability, reliability, scalability, data security, local laws compliance, and technical support availability.
Comparative analysis presents the Africa Data Centres as unique for having regional focus, data spread across the continent, and easily accessible technical support platform. It is recommended that further research is required to have a more concrete decision with the analysis of both primary and secondary data, numerical cost analysis, and evaluating the different cloud solutions modalities like, on premise, hybrid, or third-party solution providers.