Advances in International Computer Science

The e-commerce platform faces the dual challenges of resource elastic expansion and cost control in the digital transformation, and the hybrid cloud architecture provides an innovative path to solve this contradiction. Based on the traffic fluctuation characteristics and data-intensive characteristics of e-commerce business scenarios, this paper builds a hierarchical hybrid cloud system model, and integrates the data security advantages of private cloud with the elastic resource pool of public cloud. Focus on breaking through the resource dynamic scheduling algorithm and the multi-dimensional load balancing mechanism, designing an adaptive resource allocation strategy based on traffic prediction, and establishing a cross-cloud platform data fragmentation and cache collaboration scheme. Through modular architecture design and algorithm optimization, computing resources on-demand scheduling and data access efficiency are improved, providing theoretical support for the development of intelligent elastic scaling system.

Hybrid cloud architecture; E-commerce platform; System design; Optimization research