A hierarchial CPU scheduler for multimedia operating systems
OSDI '96 Proceedings of the second USENIX symposium on Operating systems design and implementation
Hierarchical packet fair queueing algorithms
IEEE/ACM Transactions on Networking (TON)
Evaluation of Job-Scheduling Strategies for Grid Computing
GRID '00 Proceedings of the First IEEE/ACM International Workshop on Grid Computing
Distributed Job Scheduling on Computational Grids Using Multiple Simultaneous Requests
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Lottery and stride scheduling: flexible proportional-share resource management
Lottery and stride scheduling: flexible proportional-share resource management
Hierarchical Scheduling for Symmetric Multiprocessors
IEEE Transactions on Parallel and Distributed Systems
Quincy: fair scheduling for distributed computing clusters
Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles
Delay scheduling: a simple technique for achieving locality and fairness in cluster scheduling
Proceedings of the 5th European conference on Computer systems
Improving MapReduce performance in heterogeneous environments
OSDI'08 Proceedings of the 8th USENIX conference on Operating systems design and implementation
Mesos: a platform for fine-grained resource sharing in the data center
Proceedings of the 8th USENIX conference on Networked systems design and implementation
Dominant resource fairness: fair allocation of multiple resource types
Proceedings of the 8th USENIX conference on Networked systems design and implementation
HotCloud'11 Proceedings of the 3rd USENIX conference on Hot topics in cloud computing
Beyond dominant resource fairness: extensions, limitations, and indivisibilities
Proceedings of the 13th ACM Conference on Electronic Commerce
Multi-resource fair queueing for packet processing
Proceedings of the ACM SIGCOMM 2012 conference on Applications, technologies, architectures, and protocols for computer communication
Demand based hierarchical QoS using storage resource pools
USENIX ATC'12 Proceedings of the 2012 USENIX conference on Annual Technical Conference
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
MROrchestrator: A Fine-Grained Resource Orchestration Framework for MapReduce Clusters
CLOUD '12 Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing
Heterogeneity and dynamicity of clouds at scale: Google trace analysis
Proceedings of the Third ACM Symposium on Cloud Computing
alsched: algebraic scheduling of mixed workloads in heterogeneous clouds
Proceedings of the Third ACM Symposium on Cloud Computing
Omega: flexible, scalable schedulers for large compute clusters
Proceedings of the 8th ACM European Conference on Computer Systems
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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.