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  Oracle Tips by Burleson

Removing Bandwidth Saturation with SSD

DBA’s who are experiencing Oracle RAC databases that are being hit by a large number of concurrent users should consider storing all concurrent access data files on SSD. This will make sure that storage is not a bottleneck for the application and maximize the utilization of servers and networks. I/O wait time will be minimized and servers and bandwidth will be fully utilized.

For example, the Texas Memory Systems RamSanhas 3,000 MB per second bandwidth and 250,000 I/Os per second sustained which means that it can simultaneously boost performance for multiple servers. The RamSan-320 uses a three-disk RAID back-up system, in addition to internal batteries, component redundancy, and hot-swap capabilities, for added data protection. This is a significant advance in reliability for 24 X 7 data center operations with critical applications.

There are two main benefits to having high bandwidth:

  • Some RAC applications require high bandwidth. Good examples include Oracle RAC video-on-demand databases where thousands of users must access the video files in different spots.

  • High bandwidth enables the SSD to be shared across multiple hosts without impacting performance.  This feature is critical for Oracle RAC systems.

It is important to remember that there is one huge difference between disk and SSD.  Solid state disks have the high bandwidth to sustain random data streams while traditional platter disks can only sustain high bandwidth numbers with sequential data streams (Figure 2.5).

I/O bandwidth can be conceptualized as the width of the highway between the device and the Oracle SGA.  Traditional disk is a one lane dirt road while SSD is an eight lane superhighway.

The RAM-to-RAM transfer of SSD to the Oracle RAC data buffer cachecan have hundreds of times of the throughput of platter disks and can help ensure that the CPU’s are fully utilized.

The above book excerpt is from:

Oracle RAC & Tuning with Solid State Disk

Expert Secrets for High Performance Clustered Grid Computing

ISBN 0-9761573-5-7

Donald K. Burleson & Mike Ault


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