Network Scheduling Aware Task Placement in Datacenters

@inproceedings{Munir2016NetworkSA,
  title={Network Scheduling Aware Task Placement in Datacenters},
  author={Ali Munir and Ting He and Ramya Raghavendra and Franck Le and Alex X. Liu},
  booktitle={CoNEXT},
  year={2016}
}
To improve the performance of data-intensive applications, existing datacenter schedulers optimize either the placement of tasks or the scheduling of network flows. The task scheduler strives to place tasks close to their input data (i.e., maximize data locality) to minimize network traffic, while assuming fair sharing of the network. The network scheduler strives to finish flows as quickly as possible based on their sources and destinations determined by the task scheduler, while the… CONTINUE READING

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