International Journal of Computer
& Organization Trends

Research Article | Open Access | Download PDF
Volume 16 | Issue 3 | Year 2026 | Article Id. IJCOT-V16I3P301 | DOI : https://doi.org/10.14445/22492593/IJCOT-V16I3P301

Cloud Computing: Architecture, Intelligent Applications, Security, and Open-Source Case Studies


Muhammad Shahbaz, Muhammad Emran, Rubiya Hanni Shafiulla Kannavalli, Farhan Ajmal Khan, Meer Zafarullah Noohani

Received Revised Accepted Published
02 Aug 2026 04 Sep 2026 23 Sep 2026 08 Oct 2026

Citation :

Muhammad Shahbaz, Muhammad Emran, Rubiya Hanni Shafiulla Kannavalli, Farhan Ajmal Khan, Meer Zafarullah Noohani, "Cloud Computing: Architecture, Intelligent Applications, Security, and Open-Source Case Studies," International Journal of Computer & Organization Trends (IJCOT), vol. 16, no. 3, pp. 1-8, 2026. Crossref, https://doi.org/10.14445/22492593/IJCOT-V16I3P301

Abstract

Cloud computing has become a fundamental computing paradigm for delivering scalable computing, storage, networking, and software services. Its flexibility and resource-sharing capabilities have enabled applications in Artificial Intelligence (AI), Machine Learning (ML), cybersecurity, intelligent transportation, energy systems, and distributed computing. This paper presents a concise review of cloud computing architecture, service requirements, intelligent applications, security requirements, and emerging cloud-edge technologies, grounded in twenty-six references spanning foundational cloud computing literature and applied AI/systems research. The paper relates cloud computing to research involving face recognition, electronic toll collection, peer-to-peer energy trading, human-bot detection, federated intrusion detection, intelligent automation, graph algorithms, honeypot-based cybersecurity, and pedestrian trajectory prediction. Two open-source cloud platforms, OpenStack and Apache CloudStack, are examined through real-world case studies. Reported results demonstrate that open-source cloud platforms can operate at substantial scale: OpenStack reports deployments involving more than 40 million cores globally, while its Walmart case study reports more than 170,000 cores across over 30 regions; Apache CloudStack's IKOULA case reports more than 100 hosts across eight zones and more than 6,600 customers. The paper concludes that future cloud systems will increasingly integrate cloud, edge computing, AI, and privacy-preserving distributed learning.

Keywords

Cloud Computing, OpenStack, Apache CloudStack, Artificial Intelligence, Machine Learning, Federated Learning, Cloud Security, Open-Source Cloud, Edge Computing.

References

[1] Peter Mell, and Tim Grance, “The NIST Definition of Cloud Computing,” NIST Special Publication 800-145, National Institute of Standards and Technology, 2011.
[
CrossRef] [Google Scholar] [Publisher Link]

[2] Michael Armbrust et al., “A View of Cloud Computing,” Communications of the ACM, vol. 53, no. 4, pp. 50-58, 2010.
[
CrossRef] [Google Scholar] [Publisher Link]

[3] Nisar Ahmed et al., “Face Recognition Comparative Analysis using Different Machine Learning Approaches,” Advances in Science and Technology Research Journal, vol. 15, no. 1, pp. 265-272, 2021.
[
CrossRef] [Google Scholar] [Publisher Link]

[4] Abdul Mujeeb et al., “Electronic Toll Collector Framework,” Advances in Science and Technology Research Journal, vol. 16, no. 1, pp. 294-302, 2022.
[
CrossRef] [Google Scholar] [Publisher Link]

[5] Nisar Ahmed et al., “A Software Capable of Simulating Peer-to-Peer Energy Trading,” International Journal of Applied Physical Sciences, vol. 7, pp. 18-26, 2021.
[
CrossRef] [Google Scholar] [Publisher Link]

[6] Ahcene Bounceur et al., “Privacy-Preserving Multiclass Intrusion Detection in In-Vehicle CAN Networks using Federated Learning,” Scientific Reports, pp. 1-53, 2026.
[
CrossRef] [Google Scholar] [Publisher Link]

[7] Nisar Ahmed et al., “How to Protecting Kernal Code and Data,” International Journal of Computer and Organization Trends, vol. 5, no. 4, pp. 20-23, 2015.
[
CrossRef] [Publisher Link]

[8] Muhammad Shahbaz et al., “Deployment of Honeypot System for Threat Detection and Intelligence in Modern Cybersecurity Architectures,” Proceedings of the 2026 1st International Conference on Innovations in Information and Communication Technology (IICT), Jamshoro, Pakistan, pp. 1-5, 2026.
[
CrossRef] [Google Scholar] [Publisher Link]

[9] Qi Zhang, Lu Cheng, and Raouf Boutaba, “Cloud Computing: State-of-the-Art and Research Challenges,” Journal of Internet Services and Applications, vol. 1, no. 1, pp. 7-18, 2010.
[
CrossRef] [Google Scholar] [Publisher Link]

[10] Paul Barham et al., “Xen and the Art of Virtualization,” Proceedings of the ACM Symposium on Operating Systems Principles (SOSP), vol. 37, no. 5, pp. 164-177, 2003.
[
CrossRef] [Google Scholar] [Publisher Link]

[11] Brendan Burns et al., “Borg, Omega, and Kubernetes: Lessons Learned from Three Container-Management Systems over a Decade,” Queue, vol. 14, no. 1, pp. 70-93, 2016.
[
CrossRef] [Google Scholar] [Publisher Link]

[12] Ioana Baldini et al., Serverless Computing: Current Trends and Open Problems, Research Advances in Cloud Computing, Springer, pp. 1-20, 2017.
[
CrossRef] [Google Scholar] [Publisher Link]

[13] Zain Ul Abideen et al., “Advancing Pedestrian Trajectory Prediction with Interaction-Aware 3D-Dual Contextualized Modeling,” Egyptian Informatics Journal, vol. 31, pp. 1-17, 2025.
[
CrossRef] [Google Scholar] [Publisher Link]

[14] Hafiz Shafiq Ur Rehman Khalil, Nisar Ahmed, and YiJun Yang, “Mouse Pointing Endpoint Prediction to Distinguish Between Human and Bot using Kinematic Template Matching,” HCI International 2025 - Late Breaking Papers, Lecture Notes in Computer Science, Gothenburg, Sweden, vol. 16337, pp. 343-364, 2026.
[
CrossRef] [Google Scholar] [Publisher Link]

[15] Nisar Ahmed et al., “The Synergy of Low-Code/No-Code and AI/ML: Enhancing Intelligent Automation,” World Journal of Engineering and Technology, vol. 13, no. 4, pp. 754-763, 2025.
[
CrossRef] [Google Scholar] [Publisher Link]

[16] S. Subashini, and V. Kavitha, “A Survey on Security Issues in Service Delivery Models of Cloud Computing,” Journal of Network and Computer Applications, vol. 34, no. 1, pp. 1-11, 2011.
[
CrossRef] [Google Scholar] [Publisher Link]

[17] Cloud Security Alliance, Top Threats to Cloud Computing 2024, 2024. [Online]. Available: https://cloudsecurityalliance.org/artifacts/top-threats-to-cloud-computing-2024   

[18] Nisar Ahmed, “Understanding Real Time OS Concepts,” International Journal of Scientific & Engineering Research, vol. 6, no. 9, pp. 1-6, 2015.
[
Google Scholar]

[19] Han Chang et al., “Two-Round Optimization Algorithm based on Quadric Error Metrics,” IEEE Access, vol. 13, pp. 30021-30035, 2025.
[
CrossRef] [Google Scholar] [Publisher Link]

[20] OpenStack Foundation, OpenStack: 45 Million Compute Cores Powered by OpenStack, OpenStack Blog, 2025. [Online]. Available: https://www.openstack.org/blog/

[21] Apache Software Foundation, Apache CloudStack: Open Source Cloud Computing, 2026. [Online]. Available: https://cloudstack.apache.org/

[22] Utku Cem Sanka et al., “Target Cell Selection Algorithms in Graph Isomorphism Problem,” International Journal of Scientific and Technical Research in Engineering (IJSTRE), vol. 6, no. 4, pp. 35-47, 2021.
[
CrossRef] [Google Scholar] [Publisher Link]

[23] Synergy Research Group, Cloud Market Annual Revenue Run Rate Topped Half a Trillion Dollars in Q1 as Growth Surge Continues, 2026. [Online]. Available: https://www.srgresearch.com/articles/cloud-market-annual-revenue-run-rate-topped-half-a-trillion-dollars-in-q1-as-growth-surge-continues

[24] Zain Ul Abideen et al., “Improved Deep Learning-based Approach for Spatial-Temporal Trajectory Planning via Predictive Modeling of Future Location,” KSII Transactions on Internet and Information Systems, vol. 18, no. 7, pp. 1726-1748, 2024.
[
CrossRef] [Google Scholar] [Publisher Link]

[25] Syed Talha Hussain et al., “Securing the Bot Eco System: IAM Framework for RPA and AI BOTs,” 2026 IEEE 5th International Conference on Computing and Machine Intelligence (ICMI), Al-Ahsa, Saudi Arabia, pp. 1-9, 2026.
[
CrossRef] [Google Scholar] [Publisher Link]

[26] Falak Ali, “Real-Time Decision Processing in Artificial Intelligence Systems: A Survey of Scheduling, Inference, and Security Foundations,” International Journal of Emerging Trends in Engineering and Development (IJETED), vol. 16, no. 5, pp. Aj1-Aj4, 2026.
[
CrossRef] [Google Scholar] [Publisher Link]

[27] Falak Ali, “Divide-and-Conquer Decomposition Strategies for Real-Time Artificial Intelligence Decision Systems: A Comparative Survey,” International Journal of Emerging Trends in Engineering and Development (IJETED), vol. 16, no. 5, pp. Ak1-Ak6, 2026.
[
CrossRef] [Google Scholar] [Publisher Link]