Deterministic Execution Models for Platforms Under Enterprise Transactional Load

Abstract

Low-code platforms are now widely used in enterprise transactional systems, but asynchronous and event-driven execution can create consistency and predictability issues under high-load conditions. Existing studies show their scalability benefits, yet strict transactional ordering remains insufficiently addressed. This study proposes a deterministic execution model for low-code environments using formal transaction ordering, controlled scheduling, and execution constraints to ensure reproducible behavior. Enterprise-scale workloads were simulated and evaluated through latency, throughput, execution consistency, and failure-rate metrics. Results show that the proposed model stabilizes latency, preserves consistent throughput, reduces execution anomalies, and maintains deterministic ordering across repeated runs. Compared with traditional asynchronous execution, the model performs better in high-integrity scenarios requiring reliability and auditability. The study concludes that deterministic execution can strengthen enterprise low-code systems without major performance loss and provides a foundation for future hybrid and distributed deterministic execution frameworks.