Balancing consistency and performance in edge-cloud transaction management

The proliferation of Internet of Things (IoT) devices has led to edge-cloud computing paradigms where resourceconstrained edge devices connect to cloud servers. However, traditional concurrency control methods like twophase locking (2 PL) and optimistic concurrency control (OCC) are inefficient in these heterogeneous environments. This paper presents adaptive transaction management protocols for edge-cloud systems. We propose ECLock which transitions between non-blocking and blocking phases, and EC-OCC which distinguishes edge and cloud transactions during timestamp validation. These hybrid techniques reduce unnecessary blocking and restarts. Simulation studies demonstrate that EC-Lock and EC-OCC provide substantial performance gains over traditional protocols under diverse workloads. By balancing consistency and efficiency, the proposed protocols enable scalable edge-cloud transaction processing. Our results show EC-Lock and EC-OCC better utilize scarce edge resources while minimizing cloud transaction impact. This work delivers innovative adaptive concurrency control optimized for emerging IoT-based edge-cloud computing architectures.