Improving performance of cloud key-value storage using flushing optimization
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Son, Y. | - |
dc.contributor.author | Kang, H. | - |
dc.contributor.author | Han, H. | - |
dc.contributor.author | Yeom, H.Y. | - |
dc.date.accessioned | 2023-02-21T02:41:51Z | - |
dc.date.available | 2023-02-21T02:41:51Z | - |
dc.date.issued | 2016-09 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/60835 | - |
dc.description.abstract | Key-value store is an essential component with an increasing demand in many scale-out environments, including social networks, online retail, and cloud services. Hence, modern key-value storage engines provide many features, including transaction, versioning, replication, etc. In storage engines, transaction processing provides atomicity and durability by using write-Ahead logging (WAL), which flushes log data before the data page is written to persistent storage in synchronous commit. However, according to our observation, WAL is a performance bottleneck on key-value storage engine since the flushing of log data to persistent storage incurs significant overhead of lock contention and fsync() calls even with various optimizations in the existing scheme. In this paper, we propose an approach for improving performance of key-value storage by optimizing the existing flushing scheme combined with group commit and consolidate array. Our scheme aggregates multiple flushing of log data into a large request on the fly and completes the request early. This scheme is an efficient group commit that reduces the number of frequent lock acquisition and fsync() calls in the synchronous commit while supporting same transaction level that the existing scheme provides. We implemented our scheme on WiredTiger storage engine and evaluated that our scheme improves the performance by 1.3-5.5x on the key-value workload compared to the existing scheme. | - |
dc.format.extent | 6 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Improving performance of cloud key-value storage using flushing optimization | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/FAS-W.2016.22 | - |
dc.identifier.bibliographicCitation | Proceedings - IEEE 1st International Workshops on Foundations and Applications of Self-Systems, FAS-W 2016, pp 42 - 47 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85011016472 | - |
dc.citation.endPage | 47 | - |
dc.citation.startPage | 42 | - |
dc.citation.title | Proceedings - IEEE 1st International Workshops on Foundations and Applications of Self-Systems, FAS-W 2016 | - |
dc.type.docType | Conference Paper | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.