Efficient queue management for cluster scheduling

EuroSys, 2016.

Cited by: 1|Bibtex|Views98|DOI:https://doi.org/10.1145/2901318.2901354
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Other Links: dblp.uni-trier.de|dl.acm.org|academic.microsoft.com

Abstract:

Job scheduling in Big Data clusters is crucial both for cluster operators' return on investment and for overall user experience. In this context, we observe several anomalies in how modern cluster schedulers manage queues, and argue that maintaining queues of tasks at worker nodes has significant benefits. On one hand, centralized approac...More

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