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Prefetching-based metadata management in Advanced Multitenant Hadoop
- Minh Chau Nguyen;
- Won, Heesun;
- Son, Siwoon;
- Gil, Myeong-Seon;
- Moon, Yang-Sae
WEB OF SCIENCE
9SCOPUS
14초록
Metadata management is an essential part in Apache Hadoop. Performing optimization of metadata accesses enhances big data storing, processing and analyzing, especially in multitenant environments. Nevertheless, as environmental complexity increases, metadata management is becoming more challenging and costly because of the heavy performance issues. In this paper, we propose a novel approach to improve the performance of metadata management for Hadoop in the multitenant environment based on the prefetching mechanism. We create metadata access graphs based on historical access values, define access patterns and then perform prefetching potential items for the near-future requests to minimize the latency. We present a formal algorithm to apply the prefetching mechanism into the Hadoop system and perform the actual implementation on a recent Hadoop system. Experimental results show that the proposed approach can enable the high performance for metadata management as well as maintain advanced multitenancy features.
키워드
- 제목
- Prefetching-based metadata management in Advanced Multitenant Hadoop
- 저자
- Minh Chau Nguyen; Won, Heesun; Son, Siwoon; Gil, Myeong-Seon; Moon, Yang-Sae
- 발행일
- 2019-02
- 유형
- Article
- 권
- 75
- 호
- 2
- 페이지
- 533 ~ 553
- 언어
- ENG
- 출판사
- SPRINGER
- 발행국가
- 네덜란드
- 분량
- 21 페이지
- ISSN
- E 1573-0484
P 0920-8542