设计基于云的应用程序解决方案的关键成功因素

Shin-Jer Yang, Zi-Ling Lai, Ming-Chin Hung
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引用次数: 0

摘要

云计算是近年来最具影响力的技术之一。云用户不需要深入了解云基础设施背后的技术知识。系统开发人员使企业和组织能够在云环境中快速实现系统和部署应用程序,并降低从开发到维护的成本。因此,许多公司已经开始使用基于云的系统。在开发一个全面的基于云的应用系统时,他们需要考虑相关的基本需求。因此,本文对功能需求和非功能需求进行了调查,并将其分为六个方面。在第一阶段,我们邀请学者和专家进行访谈和填写问卷,并通过SPSS (Statistical Product and Service Solutions)进行信度分析,对第一阶段的问卷进行修正,并删除不必要的影响因素,选择关键成功因素。在第二阶段,我们将通过层次分析法(AHP)计算权重比并对每个CSFs的序列进行排序。经过两个阶段的实验,最终结果表明,安全与隐私、系统性能和处理特性是六个方面中的前三个方面。在计算CSFs在六个方面的总权重时,排名前六的CSFs包括数据准确性、可靠性、计算逻辑、鲁棒性、可访问性和数据隐私和加密。在未来,所提出的方法可以应用于物联网和智能因素应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Approach to Critical Success Factors in Designing Cloud-based Application Solutions
In recent years, Cloud Computing is one of the more influential technologies. Cloud users do not need to deeply understand the technical knowledge underlying the cloud infrastructure. System developers enable enterprises and organizations to quickly implement systems and deploy applications in the cloud environment, and also reduce the cost from development to maintenance. Hence, many companies have begun to use cloud-based systems. They need to consider related essential requirements during developing a comprehensive cloud-based application system. Therefore, this paper did survey functional and non-functional requirements to be divided into six facets. In the first stage, we invite scholars and experts to interview and fill out the questionnaire, and conduct a reliability analysis through Statistical Product and Service Solutions (SPSS) to make corrections in questionnaire of the first stage, and erase unnecessary influencing factors to select the critical success factors (CSFs). In the second stage, we will calculate the weight ratio and rank the sequence for each of the CSFs through the analytic hierarchy process (AHP). After performing two stages experiments, the final results indicate that Security and Privacy, System Performance, and Processing Features are the top three of the six facets. In the calculation of the overall weights of CSFs across the six facets, the top six ranked CSFs cover Data Accuracy, Reliability, Computing Logic, Robustness, Accessibility, and Data Privacy and Encryption. In the future, the proposed methodology can be applied to IoT and smart factors applications.
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