A Garbage Collection Aware Stripping method for Solid-State Drives

The stripping method has been widely used to serve the requests simultaneously in Solid-State Drive (SSD). Although most of the stripping methods can improve the I/O performance of SSD, they will also result in the asymmetric distribution of the requests between the logical space and physical space, This will induce extra garbage collection operations, and will affect both of the endurance and the I/O performance of SSDs. This paper presents Garbage Collection Aware Stripping (GCAS), a novel stripping method that considers the efficiency of garbage collection for NAND flash memory based SSDs. To the best of our knowledge, this is the first work that jointly optimizes garbage collection operation and the I/O performance of stripping methods in NAND flash memory based SSDs. We implemented GCAS on a real hardware platform. Experiments show that GCAS can achieve a 15.87% reduction in terms of the number of the block erase count and can reduce 47.6% worst-case response time compared with a representative stripping method.