College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia.
Computer Science and Information Systems Department, College of Applied Sciences, Almaarefa University, Riyadh, Saudi Arabia.
PLoS One. 2024 Sep 30;19(9):e0308971. doi: 10.1371/journal.pone.0308971. eCollection 2024.
The significance of cloud computing methods in everyday life is growing as a result of the exponential advancement and refinement of artificial technology. As cloud computing makes more progress, it will bring with it new opportunities and threats that affect the long-term health of society and the environment. Many questions remain unanswered regarding sustainability, such as, "How will widely available computing systems affect environmental equilibrium"? When hundreds of millions of microcomputers are invisible to each other, what will society look like? What does this mean for social sustainability? This paper empirically investigates the ethical challenges and practices of cloud computing about sustainable development. We conducted a systematic literature review followed by a questionnaire survey and identified 11 sustainable cloud computing challenges (SCCCs) and 66 practices for addressing the identified challenges. Interpretive structural modeling (ISM) and Artificial Neural Networks (ANN) were then used to identify and analyze the interrelationship between the SCCCs. Then, based on the results of the ISM, 11 process areas were determined to develop the proposed sustainable cloud computing challenges mitigation model (SCCCMM). The SCCCMM includes four main categories: Requirements specification, Quality of Service (QoS) and Service Legal Agreement (SLA), Complexity and Cyber security, and Trust. The model was subsequently tested with a real-world case study that was connected to the environment. In a sustainable cloud computing organization, the results demonstrate that the proposed SCCCMM aids in estimating the level of mitigation. The participants in the case study also appreciated the suggested SCCCMM for its practicality, user-friendliness, and overall usefulness. When it comes to the sustainability of their software products, we believe that organizations involved in cloud computing can benefit from the suggested SCCCMM. Additionally, researchers and industry practitioners can expect the proposed model to provide a strong foundation for developing new sustainable methods and tools for cloud computing.
由于人工智能技术的指数级发展和完善，云计算方法在日常生活中的意义日益重大。随着云计算的不断进步，它将带来新的机遇和挑战，影响社会和环境的长期健康。关于可持续性，仍有许多问题没有答案，例如，“广泛可用的计算系统将如何影响环境平衡？”当数亿台微型计算机彼此看不见时，社会会是什么样子？这对社会可持续性意味着什么？本文实证研究了云计算对可持续发展的伦理挑战和实践。我们进行了系统的文献回顾，随后进行了问卷调查，确定了 11 个可持续云计算挑战（SCCCs）和 66 个应对这些挑战的实践。然后，采用解释结构建模（ISM）和人工神经网络（ANN）来识别和分析 SCCCs 之间的相互关系。然后，根据 ISM 的结果，确定了 11 个流程领域来开发所提出的可持续云计算挑战缓解模型（SCCCMM）。SCCCMM 包括四个主要类别：需求规范、服务质量（QoS）和服务法律协议（SLA）、复杂性和网络安全以及信任。该模型随后通过与环境相关的真实案例研究进行了测试。在可持续云计算组织中，结果表明所提出的 SCCCMM 有助于估计缓解水平。案例研究的参与者还赞赏所提出的 SCCCMM 的实用性、用户友好性和整体有用性。当涉及到软件产品的可持续性时，我们相信参与云计算的组织可以从所提出的 SCCCMM 中受益。此外，研究人员和行业从业者可以期望所提出的模型为开发新的可持续云计算方法和工具提供坚实的基础。
