Rubik: fast analytical power management for latency-critical systems

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...

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Bibliographic Details
Main Authors: Kasture, Harshad (Contributor), Bartolini, Davide Basilio (Contributor), Beckmann, Nathan Zachary (Contributor), Sanchez, Daniel (Contributor)
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.
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