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A Comparative Study of Public, Private, and Hybrid Cloud Models in Distributed Systems Architecture: Benefits and Limitations
Abstract
As organizations increasingly adopt cloud computing to enhance their operational capabilities, the choice of cloud models—public, private, or hybrid—plays a pivotal role in shaping distributed systems architecture. This paper presents a comparative analysis of these three cloud models, highlighting their respective benefits and limitations. The discussion is anchored in a framework that evaluates each model based on scalability, security, cost-effectiveness, and performance. By analyzing real-world implementations and case studies, we provide insights into how organizations can make informed decisions when selecting a cloud model that aligns with their specific needs and strategic objectives. The findings underscore the importance of understanding the trade-offs associated with each cloud model to optimize distributed systems and improve overall business performance.
Saurabh Ashwinikumar Dave Reviewer
28 Oct 2024 12:04 PM
Not Approved
Relevance and Originality
The research article addresses a vital topic in the context of cloud computing: the comparative analysis of public, private, and hybrid cloud models. As organizations strive to enhance their operational capabilities, understanding the nuances of each model is essential for informed decision-making. The originality of the study lies in its structured evaluation framework, which assesses scalability, security, cost-effectiveness, and performance. This comprehensive approach provides valuable insights for organizations navigating the complexities of cloud model selection.
Methodology
The methodology is well-defined, employing a comparative analysis grounded in real-world implementations and case studies. This approach enriches the findings by providing practical examples that illustrate the benefits and limitations of each cloud model. However, the article could enhance its rigor by outlining the criteria used for case study selection and specifying how data was collected and analyzed. Greater transparency in the methodology would strengthen the overall credibility of the research.
Validity & Reliability
The findings are well-supported and effectively highlight the trade-offs associated with each cloud model. However, to improve reliability, the research could incorporate quantitative metrics or performance indicators that demonstrate the real-world implications of choosing one model over another. Additionally, discussing potential biases in the selection of case studies and acknowledging any limitations would further bolster the validity of the research.
Clarity and Structure
The organization of the article is effective, with a clear structure that guides the reader through the comparative analysis. The use of headings and subheadings aids navigation and comprehension. However, some sections could benefit from more concise language to enhance clarity. Providing clear definitions of key terms and summarizing the main findings at the end of each section would improve accessibility for a broader audience.
Result Analysis
The analysis of the benefits and limitations of public, private, and hybrid cloud models is insightful and provides actionable recommendations for organizations. To deepen the analysis, the article could offer more detailed case studies showcasing successful implementations and their outcomes. Furthermore, discussing potential challenges organizations might face when transitioning between cloud models would provide a more balanced view and equip stakeholders with practical strategies for optimizing their distributed systems architecture and overall business performance.
IJ Publication Publisher
ok sir
Saurabh Ashwinikumar Dave Reviewer