How NAS makes Quick backups

Source: Internet
Author: User
Tags continue file system isilon backup

How fast backup to NAS has become a concern for NAS vendors and users, especially in the area of Io bottlenecks. Recently, Isilon company briefly introduced a supplement to a new product, including upgrades to their backup accelerator and operating system onefs. They are offering to push the Isilon company's product line to the storage mainstream, and they continue to focus on the storage IO bottleneck, the problem is more and more data center to face.

NAS backups are now typically implemented in two or over a series of file system backups, which may run into any problem that is based on a network backup, plus the need to connect through the NFS/CIFS protocol, or directly back to the local satellite tape or disk via NDMP. Local NDMP dump (dump) reduces the performance limitations of traditional NAS, but it does not solve the problems arising from both methods and requires the use of NAS during backup.

Using NAS at backup time to load storage IO performance, resulting in very slow backups, reduced storage IO performance, or worse. This causes storage administrators to use complex backup strategies that are unimaginable to reduce impact. It is also important to understand that snapshots do not work. It is also important to present continuous images to backup applications, where management of snapshots and snapshot backups still need to be managed by the same NAS.

Isilon A new backup accelerator that provides users with a dedicated node or a specific node set selection to perform backup functions. When a dedicated backup node transmits data to a backup destination, it allows other nodes to continue servicing the storage IO requirements.

The backup accelerator has enough bandwidth to drive today's high-speed fibre tape drives. They are connected to the tape library and the DDR InfiniBand cluster using the 1U isilon node and 4x 4Gbps Fibre Channel nodes. They describe each backup accelerator node to reach 480MBps and apply any of their solutions, and performance increases linearly as you increase the number of nodes.

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