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Adrenaline: Pinpointing and reining in tail queries with quick voltage boosting.

, , , , , , , and . HPCA, page 271-282. IEEE Computer Society, (2015)

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Peak power modeling for data center servers with switched-mode power supplies., and . ISLPED, page 319-324. ACM, (2010)PowerNap: eliminating server idle power., , and . ASPLOS, page 205-216. ACM, (2009)The Mystery Machine: End-to-end Performance Analysis of Large-scale Internet Services., , , , and . OSDI, page 217-231. USENIX Association, (2014)CoScale: Coordinating CPU and Memory System DVFS in Server Systems., , , , and . MICRO, page 143-154. IEEE Computer Society, (2012)Thin servers with smart pipes: designing SoC accelerators for memcached., , , , and . ISCA, page 36-47. ACM, (2013)Adrenaline: Pinpointing and reining in tail queries with quick voltage boosting., , , , , , , and . HPCA, page 271-282. IEEE Computer Society, (2015)Power routing: dynamic power provisioning in the data center., , , , and . ASPLOS, page 231-242. ACM, (2010)Architecting Efficient Data Centers.. University of Michigan, USA, (2012)MemScale: active low-power modes for main memory., , , , and . ASPLOS, page 225-238. ACM, (2011)Towards a scalable data center-level evaluation methodology., , and . ISPASS, page 121-122. IEEE Computer Society, (2011)