Latency-Adaptive API Mediation Layers for High-Throughput Transactional Enterprise Workloads

Authors

  • Takudzwa Fadziso Associate Professor, Chinhoyi University of Technology, Zimbabwe Author
  • Tanzeem Ahmad Lead Technical Quality Manager, SAP Inc, Newtown Square, USA Author
  • Deng Ying Assistant Professor of Computer Science and Engineering, Jiujiang Vocational and Technical College, Jiangxi, China Author

Keywords:

latency-adaptive, API mediation, high-throughput, transactional workloads, ERP systems, telecom billing, heuristic optimization

Abstract

Latency-adaptive API mediation layers for high-volume ERP and telecom billing systems are developed here. Profile-guided routing, heuristic optimization, and dynamic concurrency management improve adaptive mediation and tail latency under heavy transactional loads. This mediation system reduces contention and resource saturation-related latency spikes by intelligently routing requests using real-time performance monitoring and workload-aware routing algorithms. Corporate workload studies show latency-adaptive methods lower percentile latencies while preserving throughput and transactional integrity. Latency-sensitive, high-concurrency, resilient, end-to-end performance requires adaptive API mediation in modern business models. This may help business system architects and engineers construct dynamic mediation layers.

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References

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Published

04-01-2020

How to Cite

[1]
Takudzwa Fadziso, Tanzeem Ahmad, and Deng Ying, “Latency-Adaptive API Mediation Layers for High-Throughput Transactional Enterprise Workloads ”, American J Cognit Comput AI Syst, vol. 4, pp. 118–135, Jan. 2020, Accessed: Jul. 30, 2026. [Online]. Available: https://ajccai.org/index.php/publication/article/view/53