Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

AnyKey: A Key-Value SSD for All Workload Types

Authors
Park, ChanyoungLee, JunghoLiu, Chun-YiKang, KyungtaeKandemir, Mahmut TaylanChoi, Wonil
Issue Date
Mar-2025
Publisher
Association for Computing Machinery
Keywords
key-value solid-state drive; log-structured merge-tree; storage management software; tail latency
Citation
International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS, v.1, pp 47 - 63
Pages
17
Indexed
SCOPUS
Journal Title
International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS
Volume
1
Start Page
47
End Page
63
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/125379
DOI
10.1145/3669940.3707279
Abstract
Key-value solid-state drives (KV-SSDs) are considered as a potential storage solution for large-scale key-value (KV) store applications. Unfortunately, the existing KV-SSD designs are tuned for a specific type of workload, namely, those in which the size of the values are much larger than the size of the keys. Interestingly, there also exists another type of workload, in practice, in which the sizes of keys are relatively large. We re-evaluate the current KV-SSD designs using such unexplored workloads and document their significantly-degraded performance. Observing that the performance problem stems from the increased size of the metadata, we subsequently propose a novel KV-SSD design, called AnyKey, which prevents the size of the metadata from increasing under varying sizes of keys. Our detailed evaluation using a wide range of real-life workloads indicates that AnyKey outperforms the state-of-the-art KV-SSD design under different types of workloads with varying sizes of keys and values. © 2025 ACM.
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF COMPUTING > DEPARTMENT OF ARTIFICIAL INTELLIGENCE > 1. Journal Articles
COLLEGE OF COMPUTING > ERICA 컴퓨터학부 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher CHOI, WONIL photo

CHOI, WONIL
ERICA 소프트웨어융합대학 (ERICA 컴퓨터학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE