Exploiting Edge Computing for Enhanced Data Management: A Case Study in a State University’s Development Strategy
Abstract
Managing massive quantities of data from various sources, including research, administrative functions, and student information, presents significant challenges in the constantly shifting digital environment of modern universities. Network latency, a prevalent problem in conventional cloud-based systems, affects application performance by affecting the distribution of workloads and the sharing of hosts. Although cloud-based solutions have proven to be effective in delivering dependable data storage and processing capabilities, emerging technologies such as edge computing show great potential for improvements. Edge computing, through the localized processing of data closer to its source, reduces latency and enhances efficiency, making it especially useful for immediate data analysis and applications requiring quick access to large datasets. This technology has the potential to reduce dependence on centralized data centers, which could lead to cost savings and improved scalability. Additionally, it can enhance data security by keeping sensitive information processing localized. This paper aims to investigate the exploiting the data management infrastructure of the universities in the Philippines can benefit from the implementation of edge computing. The purpose of this effort is to find solutions to the problems that are currently concerning scalability, responsiveness, and security. To evaluate existing systems, investigate the capabilities of edge computing, and locate possible areas of integration, the research makes use of a mixed-methods approach, which includes conducting surveys and interviews with professionals in the field of information technology. According to the findings, edge computing has an opportunity to significantly improve the effectiveness, safety, and performance of data management. This is to the objectives that the university established for itself in terms of sustainability. Among the recommendations are the prioritization of the adoption of technology, the development of infrastructure, and the implementation of strong data management practices to fully exploit the benefits of edge computing. (Edge Computing, Information Technology, Innovation)
Citations
IRE Journals:
John Dennis Espiritu
"Exploiting Edge Computing for Enhanced Data Management: A Case Study in a State University’s Development Strategy" Iconic Research And Engineering Journals Volume 8 Issue 5 2024 Page 375-384
IEEE:
John Dennis Espiritu
"Exploiting Edge Computing for Enhanced Data Management: A Case Study in a State University’s Development Strategy" Iconic Research And Engineering Journals, 8(5)
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