Author:
M Ranjani,Priyadi Unggul,Salameh Anas A.,Imron Mochamad Ali,Kishore Kakarla Hari
Abstract
A new chapter in information technology is opened by cloud computing in computer science and engineering education. Understanding the importance of using cloud computing (CC) in institutions of higher learning is the aim of this research. This analysis shows some of the benefits that cloud computing can provide to higher education, assesses some of the most significant challenges that academics may encounter as a result of its implementation, and suggests some initial steps toward its adoption while mitigating the risks associated. Enterprise apps have migrated in large numbers to the cloud in recent years. One of the challenges posed by cloud applications is the challenge of allocating resources to the application to ensure a service level along dimensions like performance, availability, and dependability. To do this, a system based on the infrastructure of governmental bodies, non-governmental organisations (NGOs), academic institutions, and other providers of social services has been established. The results of this analysis demonstrate that it is possible to use a few variables, including administrative bodies and governments, internal stakeholders, cloud suppliers, firm attributes, socio-political changes, IT framework, and others, to understand how CC adoption methodologies are used in higher education institutions. In addition to providing insight into how cloud providers, advisers, governments, and academics see various market demands and how they respond to these expectations while expanding services provided by CC in higher education institutions, this analysis opens opportunities for future research. The implications for practice can aid decision-makers in utilizing CC services legally.
Publisher
Auricle Technologies, Pvt., Ltd.
Subject
Computer Networks and Communications
Cited by
2 articles.
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1. Exploration of the Methods of Artificial Intelligence Computer Processing Information;2024 3rd International Conference for Innovation in Technology (INOCON);2024-03-01
2. Research on Adaptive Learning Model of Higher Vocational Education Under the Background of Artificial Intelligence;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29