Article Details

Title · Authors · Abstract · Keywords · DOI · References

Implement Hybrid Cloud Disaster Recovery Based on VXLAN Technology

LI Huai1, HUANG Zonghao2

(1.Xiamen Cancer Hospital, Xiamen 361026, China; 2.Fudan University Shanghai Cancer Center, Shanghai 200032, China)

Section:Computer Technology · Vol. 2026, Issue 17 · Pages:79-82,88 · 2096-4706(2026)17-0079-05 · CLC number:TP39;R95 · Document code:A · DOI:10.19850/j.cnki.2096-4706.2026.17.014

Abstract

Considering the data-intensive, highly real-time, and interruption-critical characteristics of core business data in tertiary hospitals, this paper constructs a hybrid cloud disaster recovery system for the medical industry that integrates situational awareness, addressing issues such as weak scalability and the disconnection between disaster recovery and security in traditional solutions. The case study focuses on the Fudan University Shanghai Cancer Center. At the network layer, a VXLAN dual-tunnel configuration and VPN instances are adopted to achieve traffic scheduling and security isolation. At the application layer, cross-room active-standby deployment is implemented using K8s. At the data layer, real-time synchronization is completed through DataWatch. A three-tier disaster recovery architecture is then established and integrated with situational awareness to achieve full-process security monitoring and anomaly handling. The system attains an RTO of no more than 30 minutes and an RPO of no more than 5 minutes, with no change to core business IP addresses, transparent second-level recovery, and a reduction of infrastructure investment by more than 40%. It achieves deep collaboration between disaster recovery and security, breaking through the adaptation bottleneck of general-purpose disaster recovery solutions for the medical industry. The proposed system can provide a technical pathway and practical basis for business continuity construction in tertiary hospitals under the Xinchuang initiative.

Keywords

VXLAN technology; hybrid cloud disaster recovery; autonomous and controllable; situation awareness

References

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About the authors

Li Huai (1996-), male, Han ethnicity, from Putian, Fujian, engineer, bachelor's degree, research interests include healthcare informatization and network information security; Corresponding author: Huang Zonghao (1984-), male, Han ethnicity, from Shanghai, engineer, bachelor's degree, research interests include hospital information systems and smart healthcare.