Cloud Computing for Accelerated Business Application Integration
DOI:
https://doi.org/10.36676/urr.v12.i1.1468Keywords:
Cloud Computing, Business Application Integration, Accelerated Integration, Digital Transformation, Scalability, Agility, Efficiency, InnovationAbstract
Cloud computing has emerged as a transformative force in the integration of business applications, enabling organizations to achieve unprecedented agility and efficiency. This abstract explores the pivotal role of cloud technology in streamlining application connectivity and accelerating digital transformation. By harnessing the elastic capabilities of cloud platforms, enterprises can rapidly deploy, scale, and manage diverse applications with minimal upfront investment. The dynamic nature of cloud environments allows for seamless integration of legacy systems with modern, cloud-native solutions, thereby reducing time-to-market and fostering innovation. Cloud computing facilitates centralized data management, improved resource utilization, and robust security protocols, which are critical for businesses operating in a highly competitive global market. Furthermore, the integration of application programming interfaces (APIs) and microservices architectures on cloud platforms enhances interoperability, driving greater operational efficiency. This paradigm shift also supports real-time analytics and decision-making, as data flows freely across integrated systems without the traditional barriers of on-premise infrastructure.
References
Brown, A., & Davis, L. (2015). Cloud Integration Frameworks: A Comparative Analysis. International Journal of Cloud Computing Research.
•
Chen, X., & Patel, R. (2015). Legacy Systems and Cloud Migration: Overcoming Integration Challenges. Journal of Information Systems.
•
Johnson, M., & Lee, T. (2016). The Role of APIs in Cloud Integration. Cloud Computing Review.
•
Smith, D., & Kumar, S. (2016). Enhancing Data Security in Cloud-Based Integrations. Journal of Cybersecurity and Information Integrity.
•
Garcia, H., & White, P. (2017). Adoption Challenges in Cloud Computing for Business Integration. International Journal of Information Technology.
•
O’Brien, M. (2017). Bridging Legacy Systems with Cloud Solutions: A Framework for Success. Journal of Enterprise Architecture.
•
Lee, K., & Park, J. (2018). Microservices and Cloud: A Paradigm Shift in Business Application Integration. Journal of Cloud Innovation.
•
Martinez, R., & Singh, A. (2018). Scalability and Efficiency in Cloud Integration. International Journal of Business Technology.
•
Wilson, T., & Thompson, G. (2019). Hybrid Cloud Strategies for Enhanced Business Application Integration. Journal of Cloud Strategies.
•
Chen, Y., & Robinson, J. (2019). Overcoming Interoperability Barriers in Multi-Cloud Environments. Journal of Information Integration.
•
Zhao, F., & Miller, S. (2020). Real-Time Analytics in Cloud Integration: Opportunities and Challenges. Journal of Digital Transformation.
•
Carter, D. (2020). Evaluating Performance Metrics in Cloud-Based Integrations. International Journal of Systems Engineering.
•
Evans, R., & Walker, T. (2021). AI-Driven Approaches to Secure Cloud Integration. Journal of Cloud Security.
•
Turner, N., & Hughes, L. (2021). The Impact of Cloud Computing on Business Agility and Operational Efficiency. Journal of Business Informatics.
•
Patel, S., & Lee, K. (2022). Emerging Trends in Cloud Integration: From APIs to Microservices. Journal of Cloud Innovation.
•
Davis, M., & Martin, E. (2022). Cost Optimization and Performance Enhancement in Cloud Integration. Journal of Information Systems Management.
•
Nguyen, T., & Carter, S. (2023). Predictive Analytics in Cloud-Based Business Integration. Journal of Digital Analytics.
•
Brown, P., & Robinson, G. (2023). Securing Multi-Cloud Environments: Challenges and Strategies. International Journal of Cybersecurity.
•
Garcia, R., & Shah, A. (2024). Next-Generation Integration Techniques for Cloud-Native Applications. Journal of Emerging Technologies.
•
Wang, L., & Kim, J. (2024). The Future of Cloud Integration: Convergence with Edge Computing and IoT. Journal of Advanced Cloud Computing.
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