Active-active technology for business applications on a power grid dispatch cloud platform with one cloud and multiple chips

Abstract

Cloud platforms still suffer from problems such as insufficient resource utilization, low data convergence efficiency, and excessively long fault recovery links in areas like cross-chip adaptation, multi-primary/backup consistency guarantees, and fault self-healing. To address these issues, this paper proposes a multi-primary/backup technology system for power grid dispatching cloud platforms that integrates intelligent sensing and adaptive control. Capability tag modeling and unified resource abstraction are used to achieve unified cross-architecture access and containerized adaptive deployment for CPU/GPU/domestic chips. A hierarchical data consistency control and multi-primary conflict resolution mechanism is constructed by combining primary key routing and version vector constraints to improve the controllability of multi-primary/backup data synchronization. Experimental results show that, compared with comparative schemes, the proposed method increases the average CPU utilization to 68.3%, reduces the load variance to 0.027, increases the request success rate to 99.41%, and reduces the average response latency to 28.3 milliseconds. The results verify the comprehensive advantages of the proposed method in heterogeneous resource utilization, multi-activity consistency guarantees, and high-reliability self-healing, providing a feasible technical path for the construction of high-availability multi-activity power grid dispatching cloud platforms.