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An empirical study for mitigating sustainable cloud computing challenges using ISM-ANN
Hathal Salamah Alwageed1, Ismail Keshta2, Rafiq Ahmad Khan3
1College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia.
Plos One
|September 30, 2024
Summary
This study addresses sustainable cloud computing challenges and offers a practical mitigation model. The proposed model helps organizations estimate sustainability efforts and provides a foundation for future research and development.
Area of Science:
- Computer Science
- Environmental Science
- Sociology
Background:
- Cloud computing's growth, driven by AI, presents opportunities and threats to societal and environmental sustainability.
- Unanswered questions exist regarding the environmental equilibrium and social sustainability impacts of widespread, interconnected computing systems.
Purpose of the Study:
- To empirically investigate the ethical challenges and practices of cloud computing concerning sustainable development.
- To identify and analyze sustainable cloud computing challenges (SCCCs) and develop a mitigation model (SCCCMM).
Main Methods:
- Systematic literature review and questionnaire survey to identify 11 SCCCs and 66 practices.
- Interpretive Structural Modeling (ISM) and Artificial Neural Networks (ANN) to analyze interrelationships between SCCCs.
- Development and testing of the Sustainable Cloud Computing Challenges Mitigation Model (SCCCMM) using a case study.
Main Results:
- Identified 11 SCCCs and 66 mitigation practices.
- Developed the SCCCMM with four main categories: Requirements specification, Quality of Service (QoS) and Service Legal Agreement (SLA), Complexity and Cyber security, and Trust.
- The SCCCMM effectively aids in estimating mitigation levels in sustainable cloud computing organizations.
Conclusions:
- The SCCCMM is practical, user-friendly, and useful for organizations in cloud computing to enhance software product sustainability.
- The model provides a strong foundation for researchers and practitioners to develop new sustainable cloud computing methods and tools.
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