The use of distributed key‐value stores (KVS) has experienced fast adoption by various
applications in recent years due to key advantages such as hypertext transfer protocol …

Distributed key-value stores (KVS) are a well-established approach for cloud data-intensive
applications, but they were not designed to consider workloads with data access skew …

This article addresses the problem of self-tuning the data placement in replicated key-value
stores. The goal is to automatically optimize replica placement in a way that leverages …

In distributed key-value stores, multiple replica servers are always available for each key-
value access operation when the eventual consistency model is employed. Accordingly, the …

Key-value (KV) stores based on the LSM tree have become a foundational layer in the
storage stack of datacenters and cloud services. Current approaches for achieving reliability …

Distributed storage systems distribute user loads across regions. User requests from
different geographical locations are directed to the nearest data center, benefiting reduced …

High performance distributed storage systems face the challenge of load imbalance caused
by skewed and dynamic workloads. This paper introduces Pegasus, a new storage …

Recently, many studies have been conducted on key-value store as a platform for distributed
storage services. A key-value store manages data as key-value pairs using hash tables. In …

In current large-scale distributed key–value stores, the tail latency of the key–value accesses
generated by end-user requests is crucial to the response time of these requests. To cut the …

A key-value store is the primary architecture of data centers. Most modern data stores tend to
be distributed and to enable the scaling of the replicas and data across multiple instances of …