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

Bibliographic Details
Main Authors: Demoulin, Henri, Fried, Joshua, Pedisich, Isaac, Kogias, Marios, Loo, Boon Thau, Phan, Linh Thi Xuan, Zhang, Irene
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: ACM|ACM SIGOPS 28th Symposium on Operating Systems Principles CD-ROM 2022
Online Access:https://hdl.handle.net/1721.1/146264

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