ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술대회 High Performance Metadata Management Engine for Large-Scale Distributed File Systems
Cited 1 time in scopus Download 1 time Share share facebook twitter linkedin kakaostory
저자
차명훈, 이상민, 김동오, 김홍연, 김영균
발행일
201511
출처
International Conference on Future Generation Communication and Networking (FGCN) 2015, pp.29-32
DOI
https://dx.doi.org/10.1109/FGCN.2015.12
협약과제
15MS3300, 유전체 분석용 슈퍼컴퓨팅 시스템 개발, 최완
초록
This paper presents a metadata management engine with considerable performance and scalability that can be used in a nationwide file storage service. While a metadata server cluster is needed to support a huge number of metadata requests in a large-scale file storage, in reality, there are few such clusters with a product level quality. We propose a metadata management architecture with several new features including the maximum performance potentialities using a single metadata server. Based on this architecture, we implemented a new file system that is now being used for many storage services on Internet.
키워드
Distributed file system, Metadata
KSP 제안 키워드
Distributed File system, File Storage, High performance, Metadata server, Performance and scalability, Performance metadata, Server cluster, Storage Service, large-scale, metadata management