State Consistency in Event-Driven Low-Code Orchestration Frameworks

Abstract

Event-driven low-code orchestration platforms play a key role in enterprise application development by enabling rapid workflow automation through asynchronous execution. However, maintaining state consistency remains challenging under high concurrency and distributed environments. Existing solutions mainly rely on eventual consistency, which is often insufficient for workflows with strict state dependencies. This study proposes a structured framework for enforcing state consistency in event-driven low-code systems through formal state transition modeling, event sequencing, constraint-based validation, and conflict resolution mechanisms. The framework is evaluated under varying workload conditions using metrics including state divergence rate, consistency violation frequency, and recovery latency. Results show a substantial reduction in state inconsistencies and faster recovery compared with conventional approaches, while introducing only moderate system overhead. The findings demonstrate that consistency-aware orchestration can significantly improve workflow reliability and predictability. The proposed framework provides a practical foundation for next-generation low-code platforms and supports future research on adaptive, scalable, and real-time orchestration systems.