A Comprehensive Analysis of Cloud Computing Architectures: Evolution, Security, and Sustainability
Keywords:
Blockchain security, Cloud computing, Edge computing, Green computing, Hybrid cloudAbstract
Cloud computing has transformed digital infrastructure by providing scalable, cost- effective, and on-demand computing services. This paper offers an in-depth analysis of cloud computing architectures, encompassing enabling technologies, service models, security mechanisms, and sector-specific applications. A novel blockchain-edge hybrid security framework is proposed to enhance trust, data integrity, and compliance in hybrid cloud environments. Case studies across healthcare, fintech, education, smart cities, and retail demonstrate real-world impacts. Simulations using CloudSim 4.0 with NASA Ames and synthetic workloads validate improvements in energy efficiency (up to 37%) and latency (down to 4ms). The paper explores emerging trends such as green computing, quantum-safe cryptography, AI-native orchestration, and 6G integration, and provides a roadmap for future research and adoption. Recommendations for enterprises, cloud providers, and policy-makers address challenges like vendor lock-in, regulatory compliance, and sustainability.
References
M. Armbrust, I. Stoica, M. Zaharia, “A View of Cloud Computing,” Communications of the ACM, vol. 53, no. 4, pp. 50–58, Apr. 2010, doi: https://doi.org/10.1145/1721654.1721672.
J. Lewis and M. Fowler, “Microservices,” Martinfowler.com, Mar. 25, 2014. https://martinfowler.com/articles/microservices.html
I Baldini, P. Castro, K. Chang, “Serverless Computing: Current Trends and Open Problems,” Research Advances in Cloud Computing, pp. 1–20, 2017, doi: https://doi.org/10.1007/978-981-10-5026-8_1
B. Razavi, "Breaking the Speed-Power Tradeoffs in Broadband Circuits: Reviewing design techniques for transceivers up to 56 GHz," in IEEE Nanotechnology Magazine, vol. 16, no. 3, pp. 6-15, June 2022, doi: https://doi.org/10.1109/MNANO.2022.3160770.
H. Zhang and Z. Qian, “Precise and Accurate Patch Presence Test for Binaries Precise and Accurate Patch Presence Test for Binaries,” 2018. Accessed: Jul. 14, 2025. [Online]. Available: https://www.usenix.org/system/files/conference/usenixsecurity18/sec18-zhang.pdf
Y. Demchenko, J. J. Cuadrado-Gallego, and O. Chertov, “Cloud Computing Foundation: Definition, Reference Architecture, Foundational Technologies, Use Cases,” Big Data Infrastructure Technologies for Data Analytics, pp. 81–113, Jan. 2024, doi: https://doi.org/10.1007/978-3-031-69366-3_3.
R. Buyya, C. S. Yeo, S. Venugopal, J. Broberg, and I. Brandic, “Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility,” Future Generation Computer Systems, vol. 25, no. 6, pp. 599–616, Jun. 2009, doi: https://doi.org/10.1016/j.future.2008.12.001.
W. Shi, J. Cao, Q. Zhang, Y. Li, and L. Xu, “Edge Computing: Vision and Challenges,” IEEE Internet of Things Journal, vol. 3, no. 5, pp. 637–646, Oct. 2016, doi: https://doi.org/10.1109/jiot.2016.2579198.
F. Bonomi, R. Milito, P. Natarajan, and J. Zhu, “Fog Computing: A Platform for Internet of Things and Analytics,” Big Data and Internet of Things: A Roadmap for Smart Environments, pp. 169–186, 2014, doi: https://doi.org/10.1007/978-3-319-05029-4_7.
P. Mell and T. Grance, “The NIST Definition of Cloud Computing Recommendations of the National Institute of Standards and Technology,” NIST, Sep. 2011. Available: https://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800-145.pdf