Job-aware Scheduling in Eagle: Divide and Stick to Your Probes

@inproceedings{Delgado2016JobawareSI,
  title={Job-aware Scheduling in Eagle: Divide and Stick to Your Probes},
  author={Pamela Delgado and Diego Didona and Florin Dinu and Willy Zwaenepoel},
  booktitle={SoCC},
  year={2016}
}
We present Eagle, a new hybrid data center scheduler for data-parallel programs. Eagle dynamically divides the nodes of the data center in partitions for the execution of long and short jobs, thereby avoiding head-of-line blocking. Furthermore, it provides job awareness and avoids stragglers by a new technique, called Sticky Batch Probing (SBP). The dynamic partitioning of the data center nodes is accomplished by a technique called Succinct State Sharing (SSS), in which the distributed… CONTINUE READING

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