MODERNIZING LEGACY BIGDATA SYSTEMS: A CLOUD-NATIVE MIGRATION FRAMEWORK AND CASE STUDIES
Keywords:
Cloud-Native Architecture, Legacy System Modernization, Big Data Migration, High Availability Systems, Enterprise Cloud ComputingAbstract
This comprehensive article examines the transformation of legacy big data systems to cloud-native architectures, focusing on migration strategies, implementation frameworks, and real-world case studies. The article investigates the evolution of big data architectures across three generations, from traditional data warehouses to modern cloud-native solutions, highlighting the critical factors driving modernization initiatives. The article analyzes cloud-native architecture principles, high-availability strategies, and migration frameworks while presenting detailed case studies from industry leaders. Through systematic analysis of architectural design principles, testing strategies, and performance optimization techniques, the article demonstrates the significant benefits of cloud modernization in terms of scalability, cost efficiency, and operational effectiveness. The article encompasses various aspects of modernization, including multi-availability zone deployments, disaster recovery capabilities, data replication methods, and container orchestration, providing insights into best practices and challenge resolution strategies. This article contributes to understanding cloud migration success factors and offers a structured approach for organizations undertaking modernization initiatives in an increasingly data-driven business landscape.
References
Pouya Ataei, Alan Litchfield, "The State of Big Data Reference Architectures: A Systematic Literature Review," IEEE Access PP(99):1-1. DOI:10.1109/ACCESS.2022.3217557 URL: https://www.researchgate.net/publication/365107250_The_state_of_big_data_reference_architectures_a_systematic_literature_review
S. Zhang et al., "Practical Adoption of Cloud Computing in Power Systems – Drivers, Challenges, Guidance, and Real-world Use Cases,"IEEE Transactions on Smart Grid, Vol 13, Issue 3 URL: https://ieeexplore.ieee.org/document/9703493
Robin Lichtenthaler; Jonas Fritzsch; Guido Wirtz, "Cloud-Native Architectural Characteristics and their Impacts on Software Quality: A Validation Survey," in 2023 IEEE International Conference on Service-Oriented System Engineering (SOSE), pp. 234-243, 2023. DOI: 10.1109/SOSE57144.2023.00036 URL: https://ieeexplore.ieee.org/document/10254764
Armin Balalaie, Abbas Heydarnoori, Pooyan Jamshidi, "Migrating to Cloud-Native Architectures Using Microservices: An Experience Report," arXiv preprint arXiv:1507.08217, 2015. URL: https://arxiv.org/abs/1507.08217
Hamid reza Bazi, Alireza Hassanzadeh, Ali Moeini, "A comprehensive framework for cloud computing migration using Meta-synthesis approach," ScienceDirect - Journal of Systems and Software Volume 128, June 2017, Pages 87-105, URL: https://www.sciencedirect.com/science/article/abs/pii/S0164121217300456
Minqi Zhou, Rong Zhang, Wei Xie, Weining Qian, Aoying Zhou, "Security and Privacy in Cloud Computing: A Survey," 2010 IEEE URL: https://ieeexplore.ieee.org/document/5663489
Pini Reznik, Jamie Dobson, Michelle Gienow, "Cloud-Native Transformations: Practical Patterns for Innovation," "O'Reilly Media, Inc.", 5 Dec 2019 - Computers - 540 pages, URL: https://www.amazon.in/Cloud-Native-Transformation-Practical-Innovation/dp/9352139542
Michel Wermelinger, Yijun Yu, Angela Lozano, "Design principles in architectural evolution: A case study," 2008 IEEE International Conference on Software Maintenance, pp. 396-405, 2008. DOI: 10.1109/ICSM.2008.4658088 URL: https://ieeexplore.ieee.org/abstract/document/4658088
S.C. Ntafos, "A comparison of some structural testing strategies," IEEE Transactions on Software Engineering, vol. 14, no. 6, pp. 868-874, 1988. DOI: 10.1109/TSE.1988.6319172. https://ieeexplore.ieee.org/abstract/document/6165
D. Bernstein and D. Vij, "Cloud Federation and the Evolution of Cloud Computing," IEEE Computer, vol. 49, no. 11, pp. 56-65, 2016. DOI: 10.1109/MC.2016.339 URL: https://ieeexplore.ieee.org/abstract/document/7742217
R. Jeffery; M. Berry, "A framework for evaluation and prediction of metrics program success," IEEEE. https://ieeexplore.ieee.org/document/263803
