Prefetching-based metadata management in Advanced Multitenant Hadoop

  • Minh Chau Nguyen; 
  • Won, Heesun; 
  • Son, Siwoon; 
  • Gil, Myeong-Seon; 
  • Moon, Yang-Sae
Citations

WEB OF SCIENCE

9
Citations

SCOPUS

14

초록

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

Big data; Hadoop; Metadata management; Multitenancy; Prefetching; SERVICE; FRAMEWORK
제목
Prefetching-based metadata management in Advanced Multitenant Hadoop
저자
Minh Chau Nguyen; Won, Heesun; Son, Siwoon; Gil, Myeong-Seon; Moon, Yang-Sae
DOI
10.1007/s11227-017-2019-5
발행일
2019-02
유형
Article
저널명
Journal of Supercomputing
권
75
호
2
페이지
533 ~ 553