Advances and Emerging Trends in Cloud Computing: A Comprehensive Review of Technologies, Architectures, and Applications
Keywords:
Cloud Computing, Service Models, Artificial Intelligence, Edge Computing, Quantum Cloud ComputingAbstract
Cloud computing is an underlying pillar of the modern digital infrastructure as it provides the foundation for real-world, flexible, and low-cost access to computational resources across numerous diverse industries. In this paper, we provide a comprehensive overview of the key technologies, service models, architectural patterns, emerging trends, and trends that are shaping cloud computing's growth. The study presents the foundational roles of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), as well as some enabling technologies, including virtualization, containerization, automation, and orchestration tools. The paper also examined architectural and deployment models, vital to the investigated system, such as public, private, hybrid, and multi-cloud systems, as well as the adoption of microservices, serverless computing, and cloud-native DevOps practices. We also considered the integration of Artificial Intelligence (AI) and Machine Learning (ML) as trends that have recorded growing concerns around security and compliance, sustainable cloud practices, cost optimization strategies, and the challenge of vendor lock-in are critically analyzed using relevant case studies. In conclusion, the paper presents a guide that outlines future perspectives regarding common innovations that ned to be considered, especially, quantum computing and 6G-IoT convergence.. The findings of this study support actions that encourage innovative technologies, firm security panels, innovation, research, sustainable practices, and collaborative standard-setting to ensure that the cloud future is sustainable. This present review has presented some contributions to the academic and industrial sectors through the presentation of innovative structural synthesis of the prevailing landscape and the provision of executable insights that can enhance practitioners, researchers and policymakers in the rapidly evolving domain of cloud computing
Downloads
Published
Issue
Section
Most read articles by the same author(s)
- David Adetunji Ademilua, Edoise Areghan, Cloud Computing and Machine Learning for Scalable Predictive Analytics and Automation: A Framework for Solving Real-world Problems , Communication In Physical Sciences: Vol. 12 No. 2 (2025): VOLUME 12 ISSUE 2
- David Adetunji Ademilua, Cloud Security in the Era of Big Data and IoT: A Review of Emerging Risks and Protective Technologies , Communication In Physical Sciences: Vol. 7 No. 4 (2021): VOLUME 7 ISSUE 4
- David Adetunji Ademilua, Edoise Areghan, AI-Driven Cloud Security Frameworks: Techniques, Challenges, and Lessons from Case Studies , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
Similar Articles
- Joy Nnenna Okolo, A Systematic Analysis of Artificial Intelligence and Data Science Integration for Proactive Cyber Defense: Exploring Methods, Implementation Obstacles, Emerging Innovations, and Future Security Prospects , Communication In Physical Sciences: Vol. 7 No. 4 (2021): VOLUME 7 ISSUE 4
- Christiana Uchenna Ezeanya, Ignatius Nwoyibe Ogbaga, Ogochukwu Vivian Nwaocha, Victor Utibe Edmond , Taiwo Victor Adedeji , Development of Automated Reasoning System Capable of Generating Proofs For Mathematical Theorems , Communication In Physical Sciences: Vol. 12 No. 8 (2025): Volume 12 Issue 8
- Samuel Omefe, Simbiat Atinuke Lawal, Sakiru Folarin Bello, Adeseun Kafayat Balogun, Itunu Taiwo, Kevin Nnaemeka Ifiora, AI-Augmented Decision Support System for Sustainable Transportation and Supply Chain Management: A Review , Communication In Physical Sciences: Vol. 7 No. 4 (2021): VOLUME 7 ISSUE 4
- Ademilola Olowofela Adeleye, Oluwafemi Clement Adeusi, Aminath Bolaji Bello, Israel Ayooluwa Agbo-Adediran, Intelligent Machine Learning Approaches for Data-Driven Cybersecurity and Advanced Protection , Communication In Physical Sciences: Vol. 7 No. 4 (2021): VOLUME 7 ISSUE 4
- Precious Ogechi Ufomba, Ogochukwu Susan Ndibe, IoT and Network Security: Researching Network Intrusion and Security Challenges in Smart Devices , Communication In Physical Sciences: Vol. 9 No. 4 (2023): VOLUME 9 ISSUE 4
- Humphrey Sam Samuel , Emmanuel Edet Etim, John Paul Shinggu, Bulus Bako, Machine Learning in Thermochemistry: Unleashing Predictive Modelling for Enhanced Understanding of Chemical Systems , Communication In Physical Sciences: Vol. 11 No. 1 (2024): VOLUME 11 ISSUE 1
- Iroegbu, Chibuisi, Enefiok Etuk, Charles Efe Osodeke, Electromagnetic Field(Emf) Exposure in 5g Utilizations , Communication In Physical Sciences: Vol. 12 No. 5 (2025): Vol 12 ISSUE 5
- Humphrey Sam Samuel, Emmanuel Edet Etim, John Paul Shinggu, Bulus. Bako , Machine learning of Rotational spectra analysis in interstellar medium , Communication In Physical Sciences: Vol. 10 No. 1 (2023): VOLUME 10 ISSUE 1
- Nsikan Ime Obot, Busola Olugbon, Ibifubara Humprey, Ridwanulahi Abidemi Akeem, Equatorial All-Sky Downward Longwave Radiation Modelling , Communication In Physical Sciences: Vol. 9 No. 2 (2023): VOLUME 9 ISSUE 2
- Dulo Chukwemeka Wegner, A Review on the Advances in Underwater Inspection of Subsea Infrastructure: Tools, Technologies, and Applications , Communication In Physical Sciences: Vol. 12 No. 5 (2025): Vol 12 ISSUE 5
You may also start an advanced similarity search for this article.



