Self-Slot Configurations for Dynamic Hadoop Clusters – A Review

Authors

  • Ahmed Zuber Behar Faculty of Engineering, Al-Azhar University, Egypt
  • Mohammed Zain Khalid Faculty of Information Science, King Faisal University, Saudi Arabia

Keywords:

mapreduce, jobreduce, recommendation model, dynamic scheduling, tasking

Abstract

For analyzing the large set of scalable data by using map reduce framework and Hadoop has become popular. The major concentration of this paper is to produce the review on static slot configuration of Hadoop clusters under a dynamic job reduce approach. As the static slot of the cluster shall deal with only a similar pattern of data sets. By this paper, we shall present a brief survey on the Hadoop slot configuration and hence a clear agenda is being maintained as a clear comparison.

References

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Published

2022-08-08

How to Cite

Ahmed Zuber Behar, & Mohammed Zain Khalid. (2022). Self-Slot Configurations for Dynamic Hadoop Clusters – A Review. International Journal of Human Computations & Intelligence, 1(1), 6–8. Retrieved from https://milestoneresearch.in/JOURNALS/index.php/IJHCI/article/view/17