Rubik: fast analytical power management for latency-critical systems
Latency-critical workloads (e.g., web search), common in datacenters, require stable tail (e.g., 95th percentile) latencies of a few milliseconds. Servers running these workloads are kept lightly loaded to meet these stringent latency targets. This low utilization wastes billions of dollars in energ...
Main Authors: | Kasture, Harshad (Contributor), Bartolini, Davide Basilio (Contributor), Beckmann, Nathan Zachary (Contributor), Sanchez, Daniel (Contributor) |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor) |
Format: | Article |
Language: | English |
Published: |
Association for Computing Machinery (ACM),
2017-10-27T15:00:48Z.
|
Subjects: | |
Online Access: | Get fulltext |
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