Paper on scheduling for reduced tail task latencies

Smita Vijayakumar went along to Seattle to SOCC 2024 to present her PhD research on Murmuration. This is a new scheduler for Kubernetes that allows for 15%--25% faster job completion times than the default scheduler for different job arrival characteristics in datacenters that are very busy.

Authors

Publication Details

Journal
Front Matter
Published
2024-11-01
DOI
https://doi.org/10.59350/fqjpv-10e58
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Paper on scheduling for reduced tail task latencies

Anil Madhavapeddy
Front Matter
Distributed and Parallel Computing Systems
article

Paper on scheduling for reduced tail task latencies

Anil Madhavapeddy
article en

Abstract

Smita Vijayakumar went along to Seattle to SOCC 2024 to present her PhD research on Murmuration. This is a new scheduler for Kubernetes that allows for 15%--25% faster job completion times than the default scheduler for different job arrival characteristics in datacenters that are very busy.

Front Matter
Openalex Percentile: Top 63%
Distributed and Parallel Computing Systems
DOIOpen Access PDFOpenAlex
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Paper on scheduling for reduced tail task latencies — Anil Madhavapeddy · Front Matter (2024) | TGRS Research Map | TGRS