Shenango: Achieving high CPU efficiency for latency-sensitive datacenter workloads
Datacenter applications demand microsecond-scale tail latencies and high request rates from operating systems, and most applications handle loads that have high variance over multiple timescales. Achieving these goals in a CPU-efficient way is an open problem. Because of the high overheads of today&...
Main Authors: | Ousterhout, Amy Elizabeth, Fried, Joshua, Behrens, Jonathan (Jonathan Kyle), Belay, Adam M, Balakrishnan, Hari |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
Association for Computing Machinery (ACM)/ USENIX Association
2021
|
Online Access: | https://hdl.handle.net/1721.1/131018 |
Similar Items
-
Achieving high CPU efficiency and low tail latency in datacenters
by: Ousterhout, Amy(Amy Elizabeth)
Published: (2020) -
Flexplane: An Experimentation Platform for Resource Management in Datacenters
by: Ousterhout, Amy, et al.
Published: (2021) -
When Idling is Ideal: Optimizing Tail-Latency for Heavy-Tailed Datacenter Workloads with Perséphone
by: Demoulin, Henri, et al.
Published: (2022) -
Fastpass: A Centralized “Zero-Queue” Datacenter Network
by: Perry, Jonathan, et al.
Published: (2014) -
Just in time delivery: Leveraging operating systems knowledge for better datacenter congestion control
by: Ousterhout, Amy Elizabeth, et al.
Published: (2020)