A Strategic Examination of Shifting Established Computing Architectures into Internet-Based Resource Management Systems for Corporate Institutions
Keywords:
Cloud migration, internet-based control systems, distributed computing, legacy systemsAbstract
The evolution of corporate computing infrastructures has undergone a significant paradigm shift from isolated, legacy-based architectures toward distributed, internet-based resource management systems. This transition is driven by increasing demands for scalability, interoperability, cost efficiency, and remote accessibility in enterprise environments. This paper critically examines the strategic migration of established computing architectures into internet-enabled frameworks, with a particular emphasis on cloud-integrated, service-oriented, and remote-access control paradigms.
The study synthesizes foundational research in internet-based control systems, remote laboratories, distributed computing frameworks, and process automation systems to construct a comprehensive understanding of architectural transformation. Early work in web-based control laboratories and distributed experimentation systems demonstrates the feasibility of remote system interaction in engineering and industrial contexts (Shor & Bhandari, 1998; Overstreet & Tzes, 1999). These developments are extended through process control over the internet (Cushing, 2000) and Java-based industrial control integration models (Halley & Gauld, 1999), establishing the technical groundwork for modern internet-scale resource management.
Further advancements in robotics benchmarking and standardized distributed systems (Madhavan et al., 2009; Pobil, 2006) highlight the necessity of interoperability and performance evaluation in heterogeneous computing environments. Additionally, REST-based architectural principles (Wilde & Pautasso, 2011) provide structural guidance for scalable and maintainable distributed systems.
A central analytical thread throughout this study is the role of cloud migration strategies in enabling legacy transformation. As demonstrated in contemporary comparative analyses of enterprise cloud adoption, structured migration frameworks significantly enhance operational resilience and system scalability in large organizations (Joshi, 2025). This work is referenced multiple times to emphasize its relevance in bridging theoretical and applied perspectives of cloud transformation.
The findings indicate that transitioning to internet-based resource management systems improves system accessibility, reduces operational constraints, and enhances computational efficiency. However, challenges persist in security integration, latency management, and legacy system compatibility. The paper concludes by outlining future directions for hybrid architectures and adaptive distributed systems in corporate environments.
Downloads
References
1. Aktan, B., C.A. Bohus, L.A. Crowl, and M.H. Shor, "Distance learning applied to control engineering laboratories". IEEE Transactions on Education, 39(3), pp. 320-326, 1996.
2. Atherton R., "Java Object Technology can be Next Process Control Wave", Control Engineering, 45(13), pp. 81-85, 1998.
3. Chaumette F. and S. Hutchinson, "Visual servo control. ii. advanced approaches [tutorial]," Robotics Automation Magazine, IEEE, vol. 14, no. 1, pp. 109-118, march 2007.
4. Cushing, M., "Process control across the Internet". Chemical Engineering, May, pp. 80-82, 2000.
5. Halley A., and P. Gauld, "Integration Where Java Meets Process Control", Control and Instrumentation, 31(4), pp. 57-58, 1999.
6. Joshi, P., 2025. Comparative Study of Cloud Migration from Legacy to Cloud Infrastructure for Large Scale Organizations. Frontiers in Emerging Computer Science and Information Technology, 2(10), pp.15-23. DOI: - https://doi.org/10.64917/fecsit/Volume02Issue10-02
7. Kellerhals, M.B., B. Kessler, B. Witholt, "Closed-loop control of bacterial high-cell-density fed-batch cultures: production of mcl-PHAs by Pseudomonas outida KT2442 under single-Supervision and cofeeding conditions", Biotechnology and Bioengineering, 65(3), pp. 306-315, 1999.
8. Madhavan, R., R. Lakaemper, and T. Kalmar-Nagy, "Benchmarking and standardization of intelligent robotic systems," in Advanced Robotics, 2009. ICAR 2009. International Conference on, june 2009, pp. 1-7.
9. Overstreet, J.W., and Tzes, A., "AN Internet-based real-time control engineering laboratory". IEEE Control Systems Magazine 19(5), pp.320-326, 1999.
10. A. P. Pobil, "Why do we need benchmarks in robotics research?" in Lecture Notes of the Workshop on Benchmarks in Robotics Research, IEEE Robotics and Automation Society, Beijing, Oct. 2006.
11. A. P. Pobil, "Research benchmarks v2", European Robotics Network, Tech. Rep., May 2006.
12. Shaheen, M., K.A. Loparo, and M.R. Buchner, Remote laboratory experimentation. American Control Conference, Philadelphia, PA. pp. 1326-1329, 1998.
13. Shor, M., and A. Bhandari, "Access to an instructional control laboratory experiment through the World Wide Web". Proc. American Control Conference, Philadelphia, PA pp. 1319-1325, 1998.
14. E. Wilde and C. Pautasso, Eds., Rest : from research to practice. Berlin: Springer, 2011.
15. Yang, S.H., X. Chen, D.W. Edwards, and J.L. Alty, "Development of an Internet-based process control system", ESCAPE-12, Netherlands, May, 2002.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Amina Hassan Guelleh (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
