在高等教育中使用云计算:在当前金融危机中提高灵活性的策略

Marinela Mircea, A. Andreescu
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引用次数: 231

摘要

在当前的金融危机和日益增长的需求的挑战下,大学面临着为教育、研究和发展活动提供必要的信息技术支持的问题。本文的目标是找到IT使用的替代方案,同时领导大学提高敏捷性并获得节省。研究方法包括对云计算作为IT供应、管理和安全的替代方案的最新研究进行严格分析。它还考虑了大学内部云计算使用的最佳实践,以及作者在It和高等教育方面的经验。本文首先简要介绍了大学中的云计算,提到了迄今为止获得的最重要的结果。此外,通过提出采用策略,为大学使用云计算提供了一个起点。该战略包括五个阶段,重点是基于一些关键标准对来自几所主要大学的数据和流程/功能/应用进行评估,同时在这些方面与云市场上存在的模型/服务/应用之间建立对应关系。通过提高这一领域的知识,并提供适应大学结构的实用指南,所获得的结果是鼓励和支持在大学中使用云解决方案。为了在实践中适用,所提出的模型考虑了大学的架构和标准,如任务、应用程序的可用性和重要性,以及数据的任务、敏感性、保密性、完整性和可用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Cloud Computing in Higher Education: A Strategy to Improve Agility in the Current Financial Crisis
In the current financial crisis and being challenged by growing needs, universities are facing problems in providing necessary information technology (IT) support for educational, research and development activities. The objective of this paper is to find alternatives to the use of IT, while leading universities to improve agility and obtain savings. The research methodology consisted in a rigorous analysis of the latest research on Cloud Computing as an alternative to IT provision, management and security. It also took into account the best practices for Cloud Computing usage within universities, plus the authors’ experience in IT and higher education. The article begins with a brief introduction to Cloud Computing in universities, referring to the most important results obtained so far. Further, a starting point for universities to use Cloud Computing is provided, by proposing an adoption strategy. The strategy includes five stages, with emphasis on the evaluation of data and processes/functions/applications from several major universities based on some key criteria, while creating a correspondence between these aspects and the models/services/applications that exist on the Cloud market. The results obtained are encouraging and support the use of Cloud solutions in universities by improving knowledge in this field and providing a practical guide adaptable to the university’s structure. In order to be applicable in practice, the proposed model takes into account the university’s architecture and criteria such as mission, availability and importance of applications and also the data’s mission, sensitivity, confidentiality, integrity and availability.
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