Lune

EuroSys2020Top-tier venue

Rhythm: component-distinguishable workload deployment in datacenters

Laiping Zhao, Yanan Yang, Kaixuan Zhang, Xiaobo Zhou, Tie Qiu, Keqiu Li, Yungang Bao

2020Year
49Citations
5Top-tier citations

Abstract

Cloud service providers improve resource utilization by co-locating latency-critical (LC) workloads with best-effort batch (BE) jobs in datacenters. However, they usually treat an LC workload as a whole when allocating resources to BE jobs and neglect the different features of components of an LC workload. This kind of coarse-grained co-location method leaves a significant room for improvement in resource utilization.

Ask about this paper

Ask your agent about it.

Lune has read the top-tier papers around this one, so every answer names the papers it rests on.

Questions to start from

Your agent calls

Lunesearch_papers

Ask in Lune

Free to start. No credit card required.

lune papers get c909d6ed-8693-4fc4-9cd3-1c7e9334d313

Cited by top-tier papers5

Ask how each one uses it

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines