activity
20202024
most citedVAT: Asymptotic Cost Analysis for Multi-Level Key-Value Stores

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2024

vLSM: Low tail latency and I/O amplification in LSM-based KV stores

Giorgos Xanthakis, Antonios Katsarakis, Giorgos Saloustros +1

LSM-based key-value (KV) stores are an important component in modern data infrastructures. However, they suffer from high tail latency, in the order of several seconds, making them…

cs.DB2021

Using RDMA for Efficient Index Replication in LSM Key-Value Stores

Michalis Vardoulakis, Giorgos Saloustros, Pilar González-Férez +1

Log-Structured Merge tree (LSM tree) Key-Value (KV) stores have become a foundational layer in the storage stacks of datacenter and cloud services. Current approaches for achieving…

cs.DB2021★ 1 cited

Balancing Garbage Collection vs I/O Amplification using hybrid Key-Value Placement in LSM-based Key-Value Stores

Giorgos Xanthakis, Giorgos Saloustros, Nikos Batsaras +2

Key-value (KV) separation is a technique that introduces randomness in the I/O access patterns to reduce I/O amplification in LSM-based key-value stores for fast storage devices (N…

cs.DC2020

Power and Performance Analysis of Persistent Key-Value Stores

Stella Mikrou, Anastasios Papagiannis, Giorgos Saloustros +2

With the current rate of data growth, processing needs are becoming difficult to fulfill due to CPU power and energy limitations. Data serving systems and especially persistent key…

cs.DC2020★ 1 cited

VAT: Asymptotic Cost Analysis for Multi-Level Key-Value Stores

Nikos Batsaras, Giorgos Saloustros, Anastasios Papagiannis +2

Over the past years, there has been an increasing number of key-value (KV) store designs, each optimizing for a different set of requirements. Furthermore, with the advancements of…