We present a self-designing key-value storage engine, Cosine, which can always take the
shape of the close to" perfect" engine architecture given an input workload, a cloud budget …

The Log-Structure Merged tree (LSM-tree) based key-value (KV) store has been widely
adopted as the storage engine for blockchain systems, such as Ethereum, in which …

So far, most LSM-tree-based storage engines adopt either leveling or tiering compaction.
We note that while leveling compaction can deliver high search performance and low space …

Key-value (KV) stores based on log-structured merge tree (LSM-tree) have been extensively
studied and deployed in major information technology infrastructures. Because this type of …

LSM-tree has been widely used as a write-optimized storage engine in many key-value
stores, such as LevelDB and RocksDB. However, conventional compaction operations on …

In this paper, we present PM-Blade, an LSM-tree structured storage augmented with
persistent memory (or non-volatile memory). PM-Blade utilizes persistent memory to …

As the most common data structure for key-value stores, LogStructured Merge Tree (LSM-
tree) can eliminate random write operations and keep acceptable read performance …

Key-Value Stores (KVS) implemented with log-structured merge-tree (LSM-tree) have
gained widespread ac-ceptance in storage systems. Nonetheless, a significant challenge …

Log Structured Merge Tree (LSM tree) serves as the core data storage engine in modern key-
value stores. Its adoption is rapidly accelerated with cloud computing and data center …

The log-structured merge tree (LSM-tree) is widely employed to build key-value (KV) stores.
LSM-tree organizes multiple levels in memory and on disk. The compaction of LSM-tree …