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Using Cloud Computing in Higher Education: A Strategy to Improve Agility in the Current Financial Crisis

机译:在高等教育中使用云计算:在当前金融危机中提高敏捷性的策略

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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.
机译:在当前的金融危机中,由于需求不断增长,大学在为教育,研究和开发活动提供必要的信息技术(IT)支持方面面临着诸多问题。本文的目的是寻找替代IT使用的方法,同时引导大学提高敏捷性并节省成本。该研究方法包括对云计算的最新研究进行严格分析,以替代IT提供,管理和安全性。它还考虑了大学中使用云计算的最佳实践,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,并介绍了迄今为止获得的最重要的结果。此外,通过提出采用策略,提供了大学使用云计算的起点。该策略包括五个阶段,重点是基于一些关键标准评估来自几所主要大学的数据和流程/功能/应用程序,同时在这些方面与云市场上存在的模型/服务/应用程序之间建立对应关系。所获得的结果令人鼓舞,并通过提高该领域的知识水平并提供适用于大学结构的实用指南来支持在大学中使用云解决方案。为了在实践中适用,建议的模型考虑了大学的体系结构和标准,例如任务,可用性和应用程序的重要性,以及数据的任务,敏感性,机密性,完整性和可用性。

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