Joint scheduling of MapReduce jobs with servers: Performance bounds and experiments-Reference-Cited by-同舟云学术

Joint scheduling of MapReduce jobs with servers: Performance bounds and experiments

Published:2016-04 Issue: Volume:90-91 Page:52-66
ISSN:0743-7315
Container-title:Journal of Parallel and Distributed Computing
language:en
Short-container-title:Journal of Parallel and Distributed Computing

Author:

Ling Xiao,Yuan Yi,Wang Dan,Liu Jiangchuan,Yang Jiahai

Funder

National Basic Research Program of China

National Natural Science Foundation of China

Specialized Research Fund for the Doctoral Program of Higher Education

Joint Research Fund of MOE-China Mobile

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference41 articles.

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3. Apache Hadoop, 2012. http://hadoop.apache.org.

4. Apache Mesos, 2015. http://mesos.apache.org.

5. Apache YARN, 2015. https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/YARN.html.

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