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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="" style="color: black;">Human-Centric Computing and Information Sciences</a> </i> &nbsp;
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.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.1186/s13673-020-00247-5</a> <a target="_blank" rel="external noopener" href="">fatcat:d7dg5mk76bfn3agor377dv2oui</a> </span>
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