PowerMorph: QoS-Aware Server Power Reshaping for Data Center Regulation Service

Author:

Jahanshahi Ali1ORCID,Yu Nanpeng1,Wong Daniel1

Affiliation:

1. University of California, Riverside, USA

Abstract

Adoption of renewable energy in power grids introduces stability challenges in regulating the operation frequency of the electricity grid. Thus, electrical grid operators call for provisioning of frequency regulation services from end-user customers, such as data centers, to help balance the power grid’s stability by dynamically adjusting their energy consumption based on the power grid’s need. As renewable energy adoption grows, the average reward price of frequency regulation services has become much higher than that of the electricity cost. Therefore, there is a great cost incentive for data centers to provide frequency regulation service. Many existing techniques modulating data center power result in significant performance slowdown or provide a low amount of frequency regulation provision. We present PowerMorph , a tight QoS-aware data center power-reshaping framework, which enables commodity servers to provide practical frequency regulation service. The key behind PowerMorph  is using “complementary workload” as an additional knob to modulate server power, which provides high provision capacity while satisfying tight QoS constraints of latency-critical workloads. We achieve up to 58% improvement to TCO under common conditions, and in certain cases can even completely eliminate the data center electricity bill and provide a net profit.

Funder

NSF

California Energy Commission

University of California, Riverside

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Information Systems,Software

Reference96 articles.

1. Baris Aksanli and Tajana Rosing. 2014. Providing regulation services and managing data center peak power budgets. In Proceedings of the Conference on Design, Automation & Test in Europe (DATE’14). European Design and Automation Association, 3001 Leuven, Belgium, Belgium, 143:1–143:4. http://dl.acm.org/citation.cfm?id=2616606.2616782.

2. The Datacenter as a Computer

3. The need for speed and stability in data center power capping

4. Workload Prediction Using ARIMA Model and Its Impact on Cloud Applications’ QoS

5. AME-WPC: Advanced model for efficient workload prediction in the cloud

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