Managing energy and server resources in hosting centers
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
A Dynamic Quality of Service Middleware Agent for Mediating Application Resource Usage
RTSS '98 Proceedings of the IEEE Real-Time Systems Symposium
Energy-efficient soft real-time CPU scheduling for mobile multimedia systems
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Power provisioning for a warehouse-sized computer
Proceedings of the 34th annual international symposium on Computer architecture
RTSS '07 Proceedings of the 28th IEEE International Real-Time Systems Symposium
No "power" struggles: coordinated multi-level power management for the data center
Proceedings of the 13th international conference on Architectural support for programming languages and operating systems
Chameleon: Application-Level Power Management
IEEE Transactions on Mobile Computing
Automatic exploration of datacenter performance regimes
ACDC '09 Proceedings of the 1st workshop on Automated control for datacenters and clouds
A comparison of high-level full-system power models
HotPower'08 Proceedings of the 2008 conference on Power aware computing and systems
Self-management of applications QoS for energy optimization in datacenters
Green Computing Middleware on Proceedings of the 2nd International Workshop
Self-management of cloud applications and infrastructure for energy optimization
ACM SIGOPS Operating Systems Review
Dynamic right-sizing for power-proportional data centers
IEEE/ACM Transactions on Networking (TON)
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A computer system often has multiple power management modules controlling diffierent power knobs. Uncoordinated operation of these knobs not only leads to suboptimal operation but may also cause unsafe behaviors. Coordination methods have thus been proposed to jointly control the power knobs and performance. However, in many systems, such joint design is not feasible due to lack of visibility into all modules to be coordinated. This occurs, for instance, in commodity software that runs on multiple platforms, andemerging cloud hosted applications that operate on platforms outside developers' control and alongside unknown other workloads. We propose an approach for semantics-free coordination where power-performance management can be performed within each module without semantic knowledge regarding other modules.