Vpm tokens: virtual machine-aware power budgeting in datacenters
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
Thread motion: fine-grained power management for multi-core systems
Proceedings of the 36th annual international symposium on Computer architecture
Real time power estimation and thread scheduling via performance counters
ACM SIGARCH Computer Architecture News
RAPL: memory power estimation and capping
Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design
Benchmarking modern multiprocessors
Benchmarking modern multiprocessors
DejaVu: accelerating resource allocation in virtualized environments
ASPLOS XVII Proceedings of the seventeenth international conference on Architectural Support for Programming Languages and Operating Systems
Pack & Cap: adaptive DVFS and thread packing under power caps
Proceedings of the 44th Annual IEEE/ACM International Symposium on Microarchitecture
A study of the effectiveness of CPU consolidation in a virtualized multi-core server system
Proceedings of the 2012 ACM/IEEE international symposium on Low power electronics and design
PGCapping: exploiting power gating for power capping and core lifetime balancing in CMPs
Proceedings of the 21st international conference on Parallel architectures and compilation techniques
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Today's US power markets offer new opportunities for the energy consumers to reduce their energy costs by first promising an average consumption rate for the next hour and then by following a regulation signal broadcast by the independent system operators (ISOs), who need to match supply and demand in real time in presence of volatile and intermittent renewable energy generation. This paper leverages the power regulation capabilities of the servers so as to enable the data centers to participate in these emerging power markets. As the data center energy consumption continues to grow, proposed participation in the power markets has the promise to achieve significant monetary savings. The paper first solves a data center regulation service (RS) optimization problem to determine the optimal average power consumption and regulation quantity that minimize the energy cost. We then propose a dynamic server power capping technique to modulate the real-time power consumption in response to ISO requests while maintaining the desired quality-of-service (QoS). Experiments on a real-life server demonstrate that our technique can reduce the energy cost by 29% on average compared to using a fixed power cap.