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  4. When Idling is Ideal: Optimizing Tail-Latency for Heavy-Tailed Datacenter Workloads with Perséphone

When Idling is Ideal: Optimizing Tail-Latency for Heavy-Tailed Datacenter Workloads with Perséphone

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Author(s)
Demoulin, Henri
•
Fried, Joshua
•
Pedisich, Isaac
•
Kogias, Marios
•
Loo, Boon Thau
•
Phan, Linh Thi Xuan
•
Zhang, Irene
Date Issued
October 26, 2021
Publisher
ACM|ACM SIGOPS 28th Symposium on Operating Systems Principles CD-ROM
Citation
Demoulin, Henri, Fried, Joshua, Pedisich, Isaac, Kogias, Marios, Loo, Boon Thau et al. 2021. "When Idling is Ideal: Optimizing Tail-Latency for Heavy-Tailed Datacenter Workloads with Perséphone."
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
https://hdl.handle.net/1721.1/146264
DOI of Published Version
https://doi.org/10.1145/3477132.3483571
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