The customer is a certain national secret-involved unit in East China with an independent IDC , which realizes functions of the public security mainly through technological means (including data analysis, data sorting and data archiving, etc.).
1.Phase I with 1PB data storage capacity requirements. It requires to append data storage capacity on line in phase II under the premises of not affecting original business and ensuring absolute security of data.
2.High-performance concurrent access and automatic load balancing. Multiple servers will backup important data automatically. Due to unknown backup time and size of backup file, it must ensure that concurrent writing have no bottleneck.
3.Provide a simple, stable, secure file sharing service. Most of the servers are running Linux that need timely and reliable data writing.
Symmetric Scale-Out NAS Cluster of Cyphy can satisfy high concurrent storage of unstructured data (incl. documents, pictures, stream media and logs, etc.). Concurrent throughput for a single node can reach 800 MB/S. A high throughput of 1.6 GB/s can be offered by the cluster.
12 bays C2100 - S212 of 2 nodes is configured. Each node is connected with two sets of 4U 60-bays disk expansion cabinet; Total 264 pieces of 4TB enterprise- level drives are configured, offering about 1PB naked capacity.
It suffices data applications of multiple high- end fields like high-definition monitor storage, stream media data analysis, database analysis, log archive, intelligent cluster management, etc.
1.All are made of domestic architecture.
2.All are fully symmetric distributed cluster without single node of failure
3.With creation of triple data protection technology, it’s more safe and reliable.
4.Equipment deployment is simple and convenient; WEB management interface is user- friendly and intuitive.
5.It implements data management from decentralized pattern to unified pattern.
6.Multi- field data analysis and management can be realized.
7.Possessing with advantage of easily upgrade, synchronous linear increase in capacity and performance can be realized.
8.Data management plan can be realized in scale and cluster.
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