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Implementation and Performance Measuring of Erasure Coding of Distributed File System
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분산 파일시스템의 소거 코딩 구현 및 성능 비교

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Type
Academic journal
Author
Cheiyol Kim (한국전자통신연구원) Youngchul Kim (한국전자통신연구원) Dongoh Kim (한국전자통신연구원) Hongyeon Kim (한국전자통신연구원) Youngkyun Kim (한국전자통신연구원) Daewha Seo (경북대학교)
Journal
Korea Institute Of Communication Sciences The Journal of Korean Institute of Communications and Information Sciences Vol.41 No.11 KCI Accredited Journals SCOPUS
Published
2016.11
Pages
1,515 - 1,527 (13page)

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Implementation and Performance Measuring of Erasure Coding of Distributed File System
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With the growth of big data, machine learning, and cloud computing, the importance of storage that can store large amounts of unstructured data is growing recently. So the commodity hardware based distributed file systems such as MAHA-FS, GlusterFS, and Ceph file system have received a lot of attention because of their scale-out and low-cost property. For the data fault tolerance, most of these file systems uses replication in the beginning. But as storage size is growing to tens or hundreds of petabytes, the low space efficiency of the replication has been considered as a problem. This paper applied erasure coding data fault tolerance policy to MAHA-FS for high space efficiency and introduces VDelta technique to solve data consistency problem. In this paper, we compares the performance of two file systems, MAHA-FS and GlusterFS. They have different IO processing architecture, the former is server centric and the latter is client centric architecture. We found the erasure coding performance of MAHA-FS is better than GlusterFS.

Contents

요약
ABSTRACT
Ⅰ. 서론
Ⅱ. 관련 연구
Ⅲ. MAHA-FS의 소거코딩 특징
Ⅳ. 시험 및 결과분석
Ⅴ. 결론
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