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Automatic performance setting for dynamic voltage scaling
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Process cruise control: event-driven clock scaling for dynamic power management
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Massive arrays of idle disks for storage archives
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PLDI '03 Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
Real-Time Task Scheduling for a Variable Voltage Processor
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HPCA '01 Proceedings of the 7th International Symposium on High-Performance Computer Architecture
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ISQED '04 Proceedings of the 5th International Symposium on Quality Electronic Design
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ATEC '03 Proceedings of the annual conference on USENIX Annual Technical Conference
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HOTOS'03 Proceedings of the 9th conference on Hot Topics in Operating Systems - Volume 9
VirtualPower: coordinated power management in virtualized enterprise systems
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System-Level Dynamic Thermal Management for High-Performance Microprocessors
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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As an emerging trend, virtualization is more and more widely used in today's computing world. But, the introduction of virtual machines bring trouble for the power management (PM for short), since the operating system can not directly access and control the hardware as before. Solutions were proposed to manage the power in the server consolidation case. However, such solutions are VMM-centric: the VMM gathers the PM decisions of the guests as hints, and makes the final decision to manipulate the hardware. These solutions do not fit well for the virtualized desktop environment, which is highly interactive with the users. In this paper, we propose a novel solution, called ClientVisor, to manage the power in the virtualized desktop environment. The key idea of our scheme is to leverage the functionalities of the Commercial-Off-The-Shelf (COTS) operating system, which actually interacts with the user, to manage the power of the processor and the peripheral devices in all possible cases. VMM coordinates the PM decisions of the guests only at the key points. By prototype implementation and experiments, we find our scheme results in 22% lower power consumption in the static power usage scenario, and about 8% lower in the dynamic scenario than the corresponding cases of Xen. Moreover, the experimental data shows that the deployment of our scheme will not deteriorate the user experience.