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Enhancing network I/o performance for a virtualized Hadoop cluster

  • Published:2016-10-14 Issue:8 Volume:29 Page:e3974
  • ISSN:1532-0626
  • Container-title:Concurrency and Computation: Practice and Experience
  • language:en
  • Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Jeong Jinkyu1,Choi Dong Hoon2,Jo Heeseung3

Affiliation:

1. College of Information and Communication Engineering; Sungkyunkwan University; Suwon South Korea

2. Korea Institute of Science and Technology Information (KISTI); Daejeon South Korea

3. Department of Information Technology; Chonbuk National University; Jeonju South Korea

Funder

ICT R&D program of MSIP/IITP

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference27 articles.

1. MapReduce: simplified data processing on large clusters;Dean;Commun ACM,2008

2. http://wiki.apache.org/hadoop/PoweredBy

3. Geng Y Chen S Wu Y Wu R Yang G Zheng W Location-aware MapReduce in virtual cloud 2011 International Conference on Parallel Processing (ICPP) 2011

4. http://en.wikipedia.org/wiki/IOMMU

5. Shafer J I/O virtualization bottlenecks in cloud computing today Proceedings of the 2nd conference on I/O virtualization 2010

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1. Network-aware task selection to reduce multi-application makespan in cloud;Journal of Network and Computer Applications;2021-02

2. Research on Data Storage and Processing Optimization Based on Federation HDFS and Spark;Advances in Intelligent Systems and Computing;2018-06-19
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