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TMaR: a two-stage MapReduce scheduler for heterogeneous environments

Neda Maleki, Hamid Reza Faragardi, Amir Masoud Rahmani, Mauro Conti, Jay Lofstead
<span title="2020-10-07">2020</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7vmvy44msfazpg7esvwjkcglla" style="color: black;">Human-Centric Computing and Information Sciences</a> </i> &nbsp;

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In this paper, we propose a two-stage Map and Reduce task scheduler for heterogeneous environments, called TMaR.  ...  Indeed, TMaR minimizes the makespan of a batch of tasks in heterogeneous environments while considering the network traffic.  ...  Conclusions In this paper, we presented a two-stage MapReduce task scheduler, named TMaR which enhances Hadoop performance in terms of makespan.  ... 
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Citation

Neda Maleki, Hamid Reza Faragardi, Amir Masoud Rahmani, Mauro Conti, Jay Lofstead. "TMaR: a two-stage MapReduce scheduler for heterogeneous environments." Human-Centric Computing and Information Sciences 10.1 (2020)