Abstract

For large-scale cloud computing data centers and the financial sector IDC High-density, synchronized deployment of tens of thousands of servers in the data center—Zhongxin Chuang. DNTS-9D The data center–specific time server features an optimized high-concurrency processing architecture, with a single device capable of supporting simultaneous requests from up to 100,000 terminals. NTP Time‑synchronization request, with a built-in temperature‑compensated crystal oscillator. / Rb atomic clock dual‑timekeeping configuration, BeiDou multi‑mode satellite time synchronization, with nanosecond‑level synchronization accuracy. The equipment features dual network interfaces and dual power supplies for full redundancy, supporting unified timekeeping across distributed cloud clusters, virtualization environments, and storage arrays. Paired with a comprehensive network‑wide time monitoring platform, it enables centralized, unified time management for the entire data center, and has been deployed in dozens of large‑scale data center projects nationwide.

I. Industry Background and Timing Challenges

Large-sized IDC , The cloud computing center has a large number of servers, virtual machines, and storage devices; ordinary NTP The server’s concurrent processing capacity is insufficient, leading to synchronization timeouts and excessive time drift during peak periods. Cloud‑native distributed applications and cross‑region clusters have stringent requirements for temporal consistency; when satellite signals are lost, devices lack adequate clock‑keeping capabilities, resulting in out-of‑order timestamps in logs and storage snapshots. Moreover, with multi‑datacenter deployments spread across geographically dispersed locations, the absence of a unified, visual monitoring solution significantly reduces the efficiency of troubleshooting synchronization issues.

II. DNTS-9D Introduction to Data Center Server Cores

DNTS-9D A high‑concurrency, high‑capacity time‑synchronization device, specifically designed for high‑density networking in data centers, featuring a hardware‑upgraded, high‑speed packet‑processing chip and optimized performance. NTP Request queue scheduling algorithm, significantly increasing the maximum concurrent throughput. Supports BeiDou. /GPS/GLONASS Automatic switching among multiple satellite sources, with an optional built-in rubidium atomic clock for long-term timekeeping, and compatible with… 7×24 Data center scenarios with continuous, round-the-clock operation, offering a wide range of applications. SFP Extended port support PTP Precision timing extension.

III. Core Technical Parameters and Functional Advantages

1. Concurrent throughput: processes per second 50 Ten thousand times NTP Time synchronization request, with stable support for a single device. 100000 Terminal synchronization;

2. Timekeeping Performance: Standard configuration includes a high-precision temperature-compensated crystal oscillator; a rubidium atomic clock is available as an option; satellite signal loss. 72 Time drift is controlled at the microsecond level.

3. Hardware redundancy: dual AC power supplies, dual independent Gigabit timing network interface cards, and dual satellite receivers; automatic switchover between failed links within milliseconds.

4. Cloud Adaptation: Supports batch synchronization for virtual machines and container clusters, and is compatible with… OpenStack Domestic cloud platforms export standardized time-series logs for integration with cloud audit systems.

IV. Deployment Architecture and Implementation Process

1. Core Data Center Primary-Backup Architecture: 2 Taiwan DNTS-9D As a primary reference clock, it is deployed at IDC In the core data center, a high-gain BeiDou satellite antenna is installed on the rooftop.

2. Hierarchical Synchronization Network: The primary clock is distributed downward to secondary slave clocks in each cabinet, while servers, storage devices, and switches within the cabinet achieve hierarchical synchronization.

3. Cross-datacenter cascading: Multi-region IDC The computer room is connected via fiber optic cable. PTP The link achieves cross‑region clock synchronization, ensuring consistent timekeeping across geographically dispersed clusters.

4. Full‑domain monitoring: All time‑synchronization devices are connected to an intelligent, network‑wide unified time‑monitoring platform, which centrally displays network‑wide synchronization deviations, device operating statuses, and alarm information.

V. Compliance Adaptation and Industry Certification

Compliant with GB/T 32414 Data center clock synchronization specifications and financial data center operations and maintenance standards ensure that time-series log retention meets the Level 3 security compliance audit requirements, and third-party testing has verified the reliability of the data center’s equipment.

VI. Real-World Application Cases

Major domestic cloud computing providers in East and South China IDC Data center deployment DNTS-9D The series supports time synchronization across hundreds of thousands of cloud servers and virtual machines, maintaining inter‑region clock drift within the microsecond range. Even under adverse weather conditions that cause satellite signal interruptions, the system relies on its built-in rubidium atomic clock to deliver stable, high‑precision time, with no incidents of service‑level timing errors.

VII. Operations and Maintenance Management and Full-Lifecycle Service Assurance

Provided exclusively for data centers 7×24 Hourly on‑call technical support, including remote bulk device configuration deployment; the monitoring platform automatically generates monthly data center operational trend reports and provides proactive fault alerts; factory‑assigned on‑site engineers are available for coordination. IDC Annual data center capacity expansion and equipment upgrade services.

Conclusion

DNTS-9D Leveraging ultra‑high concurrency capacity, long‑term timekeeping accuracy, and fully redundant hardware, it addresses the challenge of precise time synchronization for high‑density equipment in large cloud data centers, and, when paired with a unified monitoring platform, enables centralized time‑series operations and maintenance across multiple data centers.