Design and optimization of e-commerce platform system based on hybrid cloud architecture
基于混合云架构的电商平台系统设计与优化

摘要

电子商务平台在数字化转型中面临资源弹性扩展与成本控制的双重挑战，混合云架构为解决该矛盾提供了创新路径。本文针对电商业务场景的流量波动特性与数据密集型特征，构建分层式混合云系统模型，融合私有云数据安全优势与公有云弹性资源池。重点突破资源动态调度算法与多维度负载均衡机制，设计基于流量预测的自适应资源分配策略，建立跨云平台的数据分片与缓存协同方案。通过模块化架构设计与算法优化，实现计算资源按需调度与数据访问效率提升，为智能弹性伸缩系统开发提供理论支撑。

Abstract

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.