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An efficient Hadoop data replication method design for heterogeneous clusters
- Park, D.;
- Kang, K.;
- Hong, J.;
- Cho, Y.
초록
The performance of each datanode in a heterogeneous Hadoop cluster differs, and the number of slots that can be numbered to simultaneously execute tasks differs. For this reason, Hadoop is susceptible to replica placement problems and data replication problems. Because of this, replication problems and allocation problems occur. These problems can deteriorate the performance of Hadoop. In this paper, we summarize existing research to improve data locality, and design a data replication method to solve replication and allocation problems. © 2016 ACM.
- 제목
- An efficient Hadoop data replication method design for heterogeneous clusters
- 저자
- Park, D.; Kang, K.; Hong, J.; Cho, Y.
- 발행일
- 2016-04
- 학회명
- 31st Annual ACM Symposium on Applied Computing, SAC 2016
- 개최국가
- 미국
- 학회 개최일
- 2016-04-04 ~ 2016-04-08
- 언어
- ENG