The Architecture of Reliability: SAP Landscape Strategy, System Refreshes, and Cross-Platform Integrations

Authors

  • Anuradha Karnam Architect, Tata Consultancy Services, USA Author

DOI:

https://doi.org/10.15662/IJRAI.2021.0405005

Keywords:

Reliability Architecture, SAP Landscape Strategy, System Refreshes, Cross-Platform Integrations, SAP Architecture, Enterprise Application Integration, Data Lifecycle Management, SAP Basis Administration, System Copy Automation, Business Continuity Management, Hybrid Cloud Integration, Operational Excellence, Brownfield Migration, Open IT Landscape Management, Integration Friction (∅), Composite Time-Dependent Reliability, Entropic Decay, SAP Business Technology Platform (BTP), State Exhaustion, Metabolic Architecture, Sawtooth Degradation Pattern, Algorithmic Governance, Clean Core Strategy, DRAM Refresh Cycles

Abstract

For nearly two decades, the discipline of enterprise systems engineering has operated under the convenient but increasingly perilous fiction that SAP landscape reliability is a static, binary state. However, the contemporary collision of conservative "Brownfield" migration strategies with the high-velocity demands of "Open IT landscape management" exposes a critical failure in traditional time-independent Markov models, which ignore the entropic accumulation of technical debt. To quantify this degradation, this study employs a "hostile" experimental topology, subjecting a hybrid S/4HANA and SAP Business Technology Platform (BTP) environment to chaotic integration friction to validate a novel Composite Time-Dependent Reliability Architecture. Empirical telemetry reveals that reliability in heterogeneous environments functions not as a constant but as a rapidly decaying variable exhibiting a distinct "sawtooth" pattern of state exhaustion where the standard semi-annual system refresh cycle proves demonstrably insufficient against the logarithmic rot induced by external API volatility. Consequently, this research proposes a fundamental shift toward a "metabolic" framework of landscape management, arguing that operational excellence requires treating reliability as a consumable resource that demands a rigorous, mathematically modelled cadence of restorative maintenance rather than mere static governance

References

1. Liu, J., Jaiyen, B., Veras, R., & Mutlu, O. (2012). RAIDR: Retention-aware intelligent DRAM refresh. In Proceedings of the 39th Annual International Symposium on Computer Architecture (pp. 405-416). https://doi.org/10.1145/2366231.2337161

2. Nair, P. J., Chou, C., & Qureshi, M. K. (2014). Refresh pausing in DRAM memory systems. ACM Transactions on Architecture and Code Optimization, 11(1), 1–25. https://doi.org/10.1145/2579669

3. Nair, P. J., Chou, C., & Qureshi, M. K. (2013). A case for Refresh Pausing in DRAM memory systems. In 2013 IEEE International Symposium on High Performance Computer Architecture (pp. 526–537). https://doi.org/10.1109/HPCA.2013.6522355

4. Perchat, J., Desertot, M., & Lecomte, S. (2014). Common Framework: a Hybrid Approach to Integrate Cross-Platform Components in Mobile Application. Journal of Computer Science and Systems Biology, 7(6), 2165–2181. https://doi.org/10.3844/jcssp.2014.2165.2181

5. Breiter, G., & Naik, V. (2013). A Framework for Controlling and Managing Hybrid Cloud Service Integration. In 2013 IEEE International Conference on Cloud Engineering (IC2E) (pp. 238–243). https://doi.org/10.1109/IC2E.2013.48

6. Enterprise Application Integration in Industrial Integration: A Literature Review. (2016). International Journal of Automation and Smart Technology, 6(4), 211. https://doi.org/10.1142/S2424862216500147

7. Frantz, R. Z., Corchuelo, R., & Molina-Jiménez, C. (2012). A proposal to detect errors in Enterprise Application Integration solutions. Journal of Systems and Software, 85(6), 1362–1376. https://doi.org/10.1016/j.jss.2011.10.048

8. Freire, D. L., Frantz, R. Z., Roos-Frantz, F., & Sawicki, S. (2018). Survey on the run‐time systems of enterprise application integration platforms focusing on performance. Software: Practice and Experience, 49(2), 268–294. https://doi.org/10.1002/spe.2670

9. Hasselbring, W., & Steinacker, G. (2017). Microservice Architectures for Scalability, Agility and Reliability in E-Commerce. In 2017 IEEE International Conference on Software Architecture Workshops (ICSAW) (pp. 24–27). https://doi.org/10.1109/ICSAW.2017.11

10. Palanimalai, S., & Paramasivam, I. (2015). An Enterprise Oriented View on the Cloud Integration Approaches – Hybrid Cloud and Big Data. Procedia Computer Science, 50, 140–145. https://doi.org/10.1016/J.PROCS.2015.04.079

11. Starling, J. K., Choe, Y., & Mastrangelo, C. (2019). Optimal Technology Refresh Strategies for Strategic DMSMS Management using Ranking and Selection. In Proceedings of the 2019 Winter Simulation Conference (WSC) (pp. 3173-3184). https://doi.org/10.1109/WSC40007.2019.9004856

12. Wang, L. (2019). Architecture-Based Reliability-Sensitive Criticality Measure for Fault-Tolerance Cloud Applications. IEEE Transactions on Parallel and Distributed Systems, 30(11), 2542–2555. https://doi.org/10.1109/TPDS.2019.2917900

13. Yang, B., Liu, R., & Zio, E. (2019). Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture. IEEE Transactions on Industrial Electronics, 67(8), 6824–6833. https://doi.org/10.1109/TIE.2019.2924605

14. Yin, J., Lu, X., Pu, C., Wu, Z., & Chen, H. (2015). JTangCSB: A Cloud Service Bus for Cloud and Enterprise Application Integration. IEEE Internet Computing, 19(3), 56–63. https://doi.org/10.1109/MIC.2014.62

15. Zhong, J., Yates, R., & Soljanin, E. (2018). Two Freshness Metrics for Local Cache Refresh. In 2018 IEEE International Symposium on Information Theory (ISIT) (pp. 2176–2180). https://doi.org/10.1109/ISIT.2018.8437927

16. Zhu, W., Han, M., Milanović, J., & Crossley, P. (2020). Methodology for Reliability Assessment of Smart Grid Considering Risk of Failure of Communication Architecture. IEEE Transactions on Smart Grid, 11(6), 4966–4977. https://doi.org/10.1109/TSG.2020.2982176

17. Al-Ghamdi, A. A., & Saleem, F. (2014). Enterprise Application Integration as a middleware: Modification in data & process layer. In 2014 Saudi International Conference on Electrical Engineering (SIEC) (pp. 1–6). https://doi.org/10.1109/SAI.2014.6918263

18. Bhatt, S. (2020). Innovations in SAP Landscape Optimization Using Cloud-Based Architectures. https://www.semanticscholar.org/paper/b80cf451e2c9a089e4a75666079944570498e232

19. Chen, R.-S., Tu, M., & Jwo, J. (2010). An RFID-based enterprise application integration framework for real-time management of dynamic manufacturing processes. The International Journal of Advanced Manufacturing Technology, 54(5-8), 659–671. https://doi.org/10.1007/S00170-010-2573-Y

Downloads

Published

2021-10-15

How to Cite

The Architecture of Reliability: SAP Landscape Strategy, System Refreshes, and Cross-Platform Integrations. (2021). International Journal of Research and Applied Innovations, 4(5), 5833-5844. https://doi.org/10.15662/IJRAI.2021.0405005