Log-Structured Merge Tree (LSM-tree) key-value (KV) stores have been widely deployed in
the industry due to its high write efficiency and low costs as a tiered storage. To maintain …

Key-value store based on a log-structured merge-tree (LSM-tree) is preferable to hash-
based KV store because an LSM-tree can support a wider variety of operations and show …

Key-Value (KV) stores support many crucial applications and services. They perform fast in-
memory processing, but are still often limited by I/O performance. The recent emergence of …

Key-value (KV) stores have become a backbone of large-scale applications in today's data
centers. Write-optimized data structures like the Log-Structured Merge-tree (LSM-tree) and …

Write-optimized data structures like Log-Structured Merge-tree (LSM-tree) and its variants
are widely used in key-value storage systems like Big Table and Cassandra. Due to deferral …

Log-structured merge (LSM) tree key-value (KV) stores have been widely deployed in many
NoSQL and SQL systems, serving online big data applications such as social networking …

Modern key-value stores often use write-optimized indexes and compact in-memory indexes
to speed up read and write performance. One popular write-optimized index is the Log …

Multi-component based Log-Structured Merge-tree (LSM-tree) has been becoming one of
the mainstream indexes. LSM-tree adopts component-by-component KV item flowing down …

Log-Structured-Merge (LSM) trees are a write-optimized data structure for lightweight, high-
performance Key-Value (KV) store. Solid State Disks (SSDs) provide acceleration of KV …

Log-Structured Merge Key-Value stores (LSM KVs) are designed to offer good write
performance, by capturing client writes in memory, and only later flushing them to storage …