AccelStor’s FlexiRemap® flash-oriented software delivers three invaluable advantages: it avoids unnecessary I/O overhead, delivering superior storage performance; it provides better data protection; and it extends SSD lifespan. All-flash arrays with FlexiRemap® technology are great solutions for handling random writes and intensive I/O workloads to meet the performance demands of mission-critical applications.
FlexiRemap® features an exclusive data remapping algorithm based on the physical nature of NAND flash memory. Instead of writing the new data to the original location, FlexiRemap® organizes the inbound writes to sequential logical addresses. 4KB random write performance is significantly improved, and total performance is dramatically enhanced for 1,020K IOPS as compared with RAID algorithm, which only generates around 5K IOPS to 78K IOPS. Because RAID is unable to efficiently handle a large load of I/O requests, particularly in random write mode, storage performance suffers.
Unlike the data redundancy of traditional RAID, FlexiRemap® provides a proprietary algorithm for data protection that divides SSDs into two groups of independent drives. Data is evenly distributed across the SSDs of the two groups, with the fault tolerance of single-drive failure. If one SSD fails in a SSD group, that group will enter read-only mode to avoid the heavy loading of further writes, decreasing the chance of failure of a second drive in the same group. FlexiRemap® prevents data corruption by avoiding I/O writes to the group with the failed SSD.
Unlike HDDs, SSDs have a finite number of program-erase (P/E) cycles. Frequent programming to a particular SSD often leads to bad blocks and shortens the lifespan of the SSD. Global wear leveling algorithm guarantees of FlexiRemap® that data is evenly distributed across each SSD in every group. When new data is rewritten to the storage system, FlexiRemap® ensures that each SSD stores a similar amount of data; evenly distributed data across SSDs in groups extends SSD endurance and boosts performance by minimizing bottlenecks.
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