BRIDGING LEGACY AND MODERN: ARCHITECTURAL PATTERNS FOR ORACLE SOA SUITE INTEGRATION WITH CLOUD-NATIVE SPRING BOOT SERVICES
Keywords:
Enterprise Integration Architecture, Cloud-Native Services, Oracle SOA Suite, Spring Boot Microservices, Service OrchestrationAbstract
This article presents a comprehensive framework for integrating Oracle SOA Suite with Spring Boot microservices in cloud environments, addressing the challenges organizations face when modernizing their enterprise integration architectures. The article examines architectural patterns, security considerations, and implementation strategies for achieving seamless integration between traditional enterprise service bus implementations and cloud-native microservices. Through systematic analysis of service mediation patterns, data synchronization approaches, and DevOps practices, this article establishes a set of best practices for organizations undertaking digital transformation initiatives. The article demonstrates that successful integration requires a multi-faceted approach encompassing API management, security architecture, and performance optimization strategies. This article contributes to the body of knowledge in enterprise integration architecture by providing practitioners with concrete implementation patterns and recommendations for achieving scalable, secure, and maintainable hybrid cloud architectures.
References
Davis, Cornelia. "Cloud Native Patterns: Designing Change-Tolerant Software". IEEE Xplore. 2019 ISBN: 978-1-7281-8501-9. https://ieeexplore.ieee.org/book/10280240
Belgaum, Mohammad Riyaz., Alam, Muhammad., Musa, Shahrulniza., & Mazliham, M. S. "Integration challenges of Artificial Intelligence in Cloud Computing, Internet of Things and Software-defined networking". IEEE Xplore. 2019. DOI: 10.1109/CSIT61576.2023.10324010. https://www.researchgate.net/profile/Mohammad-Riyaz-Belgaum/publication/339759640_Integration_challenges_of_Artificial_Intelligence_in_Cloud_Computing_Internet_of_Things_and_Software-defined_networking/links/5edee58645851516e6619ae2/Integration-challenges-of-Artificial-Intelligence-in-Cloud-Computing-Internet-of-Things-and-Software-defined-networking.pdf
Ungureanu, Oana-Mihaela., & Vlădeanu, Călin. "Leveraging the cloud-native approach for the design of 5G NextGen Core Functions". 2019. IEEE Xplore. DOI: 10.1109/COMM54429.2022.9817268. https://ieeexplore.ieee.org/document/9817268/citations#citations
Sanchez, Illary Huaylupo., & Carnell, John. "Spring Microservices in Action, Second Edition".2021 IEEE Xplore. ISBN: 978-1617296956. https://ieeexplore.ieee.org/book/10280479
Ji-chen, Jiang., & Ming, Gao. "Enterprise Service Bus and an Open Source Implementation". IEEE Xplore. DOI: 10.1109/ICMSE.2007.313995. https://ieeexplore.ieee.org/document/4105027
Cai, Yongkai., & Tang, Shaohua. "Security Scheme for Cross-Domain Grid: Integrating WS-Trust and Grid Security Mechanism". In 2008 International Conference on Computational Intelligence and Security (pp. 1-8). IEEE. https://ieeexplore.ieee.org/document/4724692
Bhargavan, Karthikeyan., Fournet, Cédric., & Gordon, Andrew D. "Verified interoperable implementations of security protocols". In the 19th IEEE Computer Security Foundations Workshop (CSFW 2006) (pp. 88-106). IEEE. https://link.springer.com/chapter/10.1007/11841197_6
Garg, Satvik., Pundir, Pradyumn., Rathee, Geetanjali., et al. "On Continuous Integration / Continuous Delivery for Automated Deployment of Machine Learning Models using MLOps". IEEE Xplore. DOI: 10.1109/AIKE52691.2021.00010. On Continuous Integration / Continuous Delivery for Automated Deployment of Machine Learning Models using MLOps | IEEE Conference Publication | IEEE Xplore
El Zanfaly, D.S., Ammar, R.A., & Eldin, A.S. "Modeling and analysis of a multilevel caching in distributed database systems". In Proceedings of the Ninth International Symposium on Computers and Communications (pp. 115-120). IEEE. https://ieeexplore.ieee.org/document/1358395
Tomasevic, M., & Milutinovic, V. "Hardware approaches to cache coherence in shared-memory multiprocessors".31 December 1994. IEEE Micro, 14(6), 61-66. https://ieeexplore.ieee.org/document/331392
