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Joint Optimization of Idle and Cooling Power in Data Centers While Maintaining Response Time
| Citations: | 48 - 0 self |
BibTeX
@MISC{Ahmad_jointoptimization,
author = {Faraz Ahmad and T. N. Vijaykumar},
title = {Joint Optimization of Idle and Cooling Power in Data Centers While Maintaining Response Time},
year = {}
}
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Abstract
Server power and cooling power amount to a significant fraction of modern data centers ’ recurring costs. While data centers provision enough servers to guarantee response times under the maximum loading, data centers operate under much less loading most of the times (e.g., 30-70 % of the maximum loading). Previous serverpower proposals exploit this under-utilization to reduce the server idle power by keeping active only as many servers as necessary and putting the rest into low-power standby modes. However, these proposals incur higher cooling power due to hot spots created by concentrating the data center loading on fewer active servers, or degrade response times due to standby-to-active transition delays, or both. Other proposals optimize the cooling power but incur considerable idle power. To address the first issue of power, we propose PowerTrade, which trades-off idle power and cooling power for each other, thereby reducing the total power. To address the second issue of response time, we propose SurgeGuard to overprovision the number of active servers beyond that needed by the current loading so as to absorb future increases in the loading. SurgeGuard is a two-tier scheme which uses well-known over-provisioning at coarse time granularities (e.g., one hour) to absorb the common, smooth increases in the loading, and a novel fine-grain replenishment of the over-provisioned reserves at fine time granularities (e.g., five minutes) to handle the uncommon, abrupt loading surges. Using real-world traces, we show that combining Power-Trade and SurgeGuard reduces total power by 30 % compared to previous low-power schemes while maintaining response times within 1.7%.
Keyphrases
response time data center cooling power joint optimization maximum loading total power active server smooth increase first issue standby-to-active transition delay many server server idle power data center provision enough server well-known over-provisioning real-world trace abrupt loading surge server power idle power previous serverpower proposal novel fine-grain replenishment second issue hot spot current loading considerable idle power two-tier scheme modern data center fine time granularity previous low-power scheme coarse time granularity standby mode significant fraction power amount future increase over-provisioned reserve
