Cache-to-Flash
 
Memory Protection Technology
 
In the event of power loss, the I/O cache data stored in volatile memory will be lost. This can cause data inconsistencies especially in database applications. The XCubeSAN series can provide an optional Cache-to-Flash memory protection function that will safely transfer the memory cache data to a non-volatile flash device for permanent preservation. The optional Cache-to-Flash module comes with an M.2 flash module and either a BBM (Battery Backup Module) or an SCM (Super Capacitor Module).
Reliable and Advanced Protection Mechanism
 
Cache-to-Flash technology will first flush CPU cache to memory RAM, then flush memory RAM to the M.2 flash module to maintain the upmost data consistency. It leverages the strength of both the BIOS and CPU to quickly backup memory RAM data to the flash module. In order to quickly move data from memory RAM to the flash module, M.2 PCI-Express interface flash module is selected for better performance and less power consumption. In Cache-to-Flash recovery phase, BIOS will check C2F flag status. If C2F flag is ON, I/O cache data will be recovered from the M.2 flash module and then continue normal booting. If C2F flag is OFF, the normal booting process continues. Compared to the traditional BBM solution of 72 hours standard, Cache-to-Flash technology is more efficient, less risky, and consumes less power.
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Hot Pluggable Design with Zero Downtime1
 
The optional Cache-to-Flash module comes with an M.2 flash module and either a BBM or an SCM. All modules are hot pluggable with zero system downtime for an extra measure of availability and reliability. The M.2 flash module can be plugged in on the left hand side from the rear of the chassis. The power module can be plugged in on the right-hand side from the rear of the chassis.
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The BBM can protect all memory capacity. But the SCM can protect up to 16GB memory per controller. If your system memory is higher than 16GB, please select BBM solution.
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  1. Hot pluggable support will be available in July, 2017.
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