In the digital wave, storing, migrating, and managing massive medical data has become a direct concern for medical institutions and researchers. Sugon Storage joined a pioneer in neurological research—Xuanwu Hospital, Capital Medical University—to deploy advanced storage capacity and build a high-end computing platform for whole-genome data research in neurological-disease genetics. Designed for massive data storage, Sugon ParaStor300S distributed storage combines high bandwidth, low latency, strong scalability, and flexible management.

Massive storage, efficient access

In the hospital’s nervous-system research, high aggregate bandwidth, high concurrency, and small-file I/O bandwidth are common. How to keep stable high bandwidth and low latency? Sugon ParaStor300S provides a petabyte-scale massive storage resource pool. By optimizing reads and writes and dynamically allocating memory, it raises hit rates on sequence-database access and helps neurological-disease research proceed efficiently.

Unlimited expansion, automatic migration

Facing research teams’ growing data needs, a single ParaStor300S cluster supports 3–4,096 nodes and exabyte-scale capacity. The system can scale out and expand online, with linear growth in performance and capacity. With tiered storage, the platform can automatically migrate hot and cold data to the matching media, easily meeting the hospital’s future expansion and migration needs.

Complete mechanisms, flexible management

To give the hospital’s neurological-disease research team flexible management and control of stored data, the system supports custom read, write, delete, and query permissions for different users, raising data security and management efficiency and helping the research proceed smoothly.