With the emergence of big data era, NoSQL key-value database is considered as a promising candidate for replacing relational database management system (RDBMS). As cost per GB of flash memory is getting closer to HDD, high performance solid state drive (SSD) is regarded as the best substitute of HDD. However, there are still some issues that need to be taken into consideration.et al.have reported that applying key-value store to SSD with conventional FTL would incur internal fragmentation and further cause the degradation of device lifespan. Although they proposed KVFTL to deal with the above issues, their work gave rise to the read amplification problem. In this article, we investigate the root cause of the read amplification problem and propose elegantly measured tanner FTL (EMT-FTL) to mitigate internal fragmentation and read amplification with acceptable memory overhead. Different from KVFTL that slices a variable-sized value into multiple partitions (up to 20) of different sizes and manages them as a linked chain, EMT-FTL slices a value into 16 KiB full partitions with its remaining bytes treated as a fragment partition and appended to the fragment buffer. For a 64 GiB SSD with 16 KiB pages, the overall memory usage of EMT-FTL is only 8.81% of KVFTL. The experiments showed that EMT-FTL achieved almost the optimal space utilization as KVFTL did under most of traces and averagely improved thegetperformance by 78.57% (compared with KVFTL) under the traces with request sizes ranging from 1 byte to 16 KiB.

Although multiple-level-cell (MLC) STT-RAM increases data density, it suffers from the two-step transition (TT) issue. It is because hard domain and soft domain of an MLC STT-RAM cell cannot be flipped to the opposite magnetization direction at the same time. Thus, the soft domain has to be flipped twice to the opposite magnetization direction of the hard domain. The TT problem hurts the lifetime of MLC STT-RAM due to additional flips on soft domains. To mitigate the TT problem of MLC STT-RAM, we propose an alternative encoding scheme (AES) to reduce the occurrence of TTs. AES utilizes the encoding method to eliminate most TTs and distributes unavoidable TTs among cells evenly to improve the lifetime of MLC STT-RAM cache. The experimental results showed that the proposed scheme achieved a great lifetime improvement than the related work.