Cloud Adoption in Large Enterprises: A Case Study on Implementing Enterprise Architecture Frameworks for Seamless Integration
Keywords:
enterprise architecture, cloud adoption, TOGAFAbstract
Big businesses want scalability, efficiency, and competitive advantage by means of cloud integration into IT infrastructures. Adoption of clouds is challenging when modern technologies are incorporated with present systems and corporate goals. The importance of structured frameworks for managing complexity, compatibility, and governance is shown by a case study on how large companies integrate clouds under using enterprise architecture (EA) frameworks. Using TOGAF, Zachman Framework, and FEAF, companies design, build, and oversee cloud environments to meet company objectives and infrastructues. These frameworks are very vital in big businesses as cloud use affects data security, operational agility, and cost control.
Studies indicate that adoption of clouds calls for integrated planning and management of the technical and strategic aspects of corporate architectural frameworks. Following a significant company through cloud integration analysis, planning, implementation, optimization, and governance, the case study To demonstrate how EA models could address industry standard compliance, application compatibility, and data migration. Combining corporate design with cloud operations increases data security, regulatory compliance, and hazards of data protection. The research exposes how TOGAF's ADM (Architecture Development Method) arranges stages of cloud integration and points out key IT assets needing rearranging and cloud-based service integration. This approach guarantees cloud adoption modularity, scalability, and reusability, therefore supporting the company's aims for digital transformation.
References
M. P. de Souza, A. M. Souza, and F. S. de A. Souza, "Cloud computing adoption in enterprises: A systematic review," Journal of Cloud Computing: Advances, Systems and Applications, vol. 7, no. 1, pp. 1–16, 2018.
S. R. Nair and R. K. Gupta, "Cloud Computing and Enterprise Architecture: A Strategic Approach," International Journal of Computer Applications, vol. 179, no. 5, pp. 29-37, 2019.
Ratnala, Anil Kumar, Rama Krishna Inampudi, and Thirunavukkarasu Pichaimani. "Evaluating Time Complexity in Distributed Big Data Systems: A Case Study on the Performance of Hadoop and Apache Spark in Large-Scale Data Processing." Journal of Artificial Intelligence Research and Applications 4.1 (2024): 732-773.
Sangaraju, Varun Varma, and Kathleen Hargiss. "Zero trust security and multifactor authentication in fog computing environment." Available at SSRN 4472055.
Machireddy, Jeshwanth Reddy. "ARTIFICIAL INTELLIGENCE-BASED APPROACH TO PERFORM MONITORING AND DIAGNOSTIC PROCESS FOR A HOLISTIC ENVIRONMENT." International Journal of Computer Science and Engineering Research and Development (IJCSERD) 14.2 (2024): 71-88.
Tamanampudi, Venkata Mohit. "AI-Driven Incident Management in DevOps: Leveraging Deep Learning Models and Autonomous Agents for Real-Time Anomaly Detection and Mitigation." Hong Kong Journal of AI and Medicine 4.1 (2024): 339-381.
S. Kumari, “Cloud Transformation and Cybersecurity: Using AI for Securing Data Migration and Optimizing Cloud Operations in Agile Environments”, J. Sci. Tech., vol. 1, no. 1, pp. 791–808, Oct. 2020.
Kurkute, Mahadu Vinayak, Anil Kumar Ratnala, and Thirunavukkarasu Pichaimani. "AI-Powered IT Service Management for Predictive Maintenance in Manufacturing: Leveraging Machine Learning to Optimize Service Request Management and Minimize Downtime." Journal of Artificial Intelligence Research 3.2 (2023): 212-252.
Pichaimani, T., Inampudi, R. K., & Ratnala, A. K. (2021). Generative AI for Optimizing Enterprise Search: Leveraging Deep Learning Models to Automate Knowledge Discovery and Employee Onboarding Processes. Journal of Artificial Intelligence Research, 1(2), 109-148.
Surampudi, Yeswanth, Dharmeesh Kondaveeti, and Thirunavukkarasu Pichaimani. "A Comparative Study of Time Complexity in Big Data Engineering: Evaluating Efficiency of Sorting and Searching Algorithms in Large-Scale Data Systems." Journal of Science & Technology 4.4 (2023): 127-165.
Kondaveeti, Dharmeesh, Rama Krishna Inampudi, and Mahadu Vinayak Kurkute. "Time Complexity Analysis of Graph Algorithms in Big Data: Evaluating the Performance of PageRank and Shortest Path Algorithms for Large-Scale Networks." Journal of Science & Technology 5.4 (2024): 159-204.
Tamanampudi, Venkata Mohit. "Generative AI Agents for Automated Infrastructure Management in DevOps: Reducing Downtime and Enhancing Resource Efficiency in Cloud-Based Applications." Journal of AI-Assisted Scientific Discovery 4.1 (2024): 488-532.
Inampudi, Rama Krishna, Thirunavukkarasu Pichaimani, and Yeswanth Surampudi. "AI-Enhanced Fraud Detection in Real-Time Payment Systems: Leveraging Machine Learning and Anomaly Detection to Secure Digital Transactions." Australian Journal of Machine Learning Research & Applications 2.1 (2022): 483-523.
Sangaraju, Varun Varma, and Senthilkumar Rajagopal. "Applications of Computational Models in OCD." In Nutrition and Obsessive-Compulsive Disorder, pp. 26-35. CRC Press.
S. Kumari, “Cybersecurity Risk Mitigation in Agile Digital Transformation: Leveraging AI for Real-Time Vulnerability Scanning and Incident Response ”, Adv. in Deep Learning Techniques, vol. 3, no. 2, pp. 50–74, Dec. 2023
Parida, Priya Ranjan, Rama Krishna Inampudi, and Anil Kumar Ratnala. "AI-Driven ITSM for Enhancing Content Delivery in the Entertainment Industry: A Machine Learning Approach to Predict and Automate Service Requests." Journal of Artificial Intelligence Research and Applications 3.1 (2023): 759-799.
P. Mell and T. Grance, "The NIST definition of cloud computing," National Institute of Standards and Technology, Tech. Rep. SP 800-145, 2011.
B. H. Cheng and T. M. Ang, "TOGAF and EA framework in cloud adoption: A comparative analysis," International Journal of Computer Science and Information Security, vol. 14, no. 6, pp. 325-331, 2016.
L. M. Inoue, "Enterprise Architecture frameworks for cloud computing," Journal of Enterprise Architecture, vol. 13, no. 4, pp. 58–72, 2017.
G. O. Olsson, "Cloud adoption models in large enterprises," International Journal of Cloud Computing and Services Science, vol. 6, no. 1, pp. 12-21, 2018.
L. M. Barreto and F. S. F. de Souza, "Enterprise Architecture frameworks: A literature review," International Journal of Computer Applications, vol. 7, no. 4, pp. 112-119, 2020.
J. M. Lakshmi and G. P. S. S. Krishna, "Cloud computing models and migration strategies for large enterprises," Journal of Cloud Computing, vol. 12, no. 3, pp. 174-185, 2021.
L. B. Meier and A. B. Smith, "The role of governance in cloud adoption in large organizations," Journal of Information Systems Management, vol. 34, no. 2, pp. 99-111, 2019.
A. G. Garcia and B. L. Martinez, "Managing cloud migration with TOGAF: An organizational perspective," IEEE Transactions on Cloud Computing, vol. 10, no. 4, pp. 1282-1296, 2022.
P. C. Monnier, "Cloud integration and enterprise architecture: Bridging the gap," International Journal of Cloud Computing and Technology, vol. 6, no. 2, pp. 43-56, 2020.
S. L. Zhang and N. B. Huang, "Impact of cloud computing on enterprise architecture frameworks," International Journal of Software Engineering and Technology, vol. 11, no. 4, pp. 44-55, 2021.
M. T. Han, "Challenges of integrating cloud architecture into large enterprises," Cloud Computing Research and Applications Journal, vol. 9, no. 3, pp. 114-122, 2020.
M. A. Vassiliev, "The role of EA in cloud migration and governance," Journal of Information Technology and Management, vol. 26, no. 2, pp. 93-106, 2022.
S. T. Kim and S. Y. Lee, "Cloud service models and integration challenges in enterprise architecture," IEEE Cloud Computing, vol. 4, no. 5, pp. 22-29, 2017.
W. P. Barzotto, "Cost, performance, and scalability in cloud computing adoption," IEEE Transactions on Cloud Computing, vol. 12, no. 6, pp. 1420-1430, 2021.
A. R. McNeil, "Application compatibility and data migration issues in cloud adoption," Journal of Cloud Computing and Big Data, vol. 14, no. 1, pp. 57-68, 2020.
D. S. Westbrook and P. A. Daniel, "Hybrid cloud strategies in large enterprises," International Journal of Computer Science and Cloud Computing, vol. 10, no. 2, pp. 234-243, 2020.
H. D. Weber, "EA frameworks for cloud integration in multinational organizations," Global Journal of Cloud Computing Research, vol. 16, no. 3, pp. 83-95, 2019.
J. D. Elvers, "Governance and compliance considerations in cloud adoption: A framework approach," IEEE Transactions on Cloud Computing Governance, vol. 8, no. 3, pp. 1021-1033, 2020.
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