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ISTC-CC Abstract
Hierarchical Scheduling for Diverse Datacenter Workloads
4th ACM Symposium on Cloud Computing (SOCC’13), October 2013.
Arka Bhattacharya, Eric Friedman*, Ali Ghodsi, Scott Shenker, Ion Stoica
University of California, Berkeley
*International Computer Science Institute, Berkeley
There has been a recent industrial effort to develop multi-resource hierarchical schedulers. However, the existing implementations have some shortcomings in that they might leave resources unallocated or starve certain jobs. This is because the multi-resource setting introduces new challenges for hierarchical scheduling policies. We provide an algorithm, which we implement in Hadoop, that generalizes the most commonly used multi-resource scheduler, DRF [1], to support hierarchies. Our evaluation shows that our proposed algorithm, H-DRF, avoids the starvation and resource inefficiencies of the existing open-source schedulers and outperforms slot scheduling.
FULL PAPER: pdf
