httperf—a tool for measuring web server performance
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Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Single-ISA Heterogeneous Multi-Core Architectures: The Potential for Processor Power Reduction
Proceedings of the 36th annual IEEE/ACM International Symposium on Microarchitecture
Single-ISA Heterogeneous Multi-Core Architectures for Multithreaded Workload Performance
Proceedings of the 31st annual international symposium on Computer architecture
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Queue - Multiprocessors
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lmbench: portable tools for performance analysis
ATEC '96 Proceedings of the 1996 annual conference on USENIX Annual Technical Conference
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HASS: a scheduler for heterogeneous multicore systems
ACM SIGOPS Operating Systems Review
A comprehensive scheduler for asymmetric multicore systems
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Resource-conscious scheduling for energy efficiency on multicore processors
Proceedings of the 5th European conference on Computer systems
Power-aware scheduler for virtualized systems
Green Computing Middleware on Proceedings of the 2nd International Workshop
Extended scheduler for efficient frequency scaling in virtualized systems
ACM SIGOPS Operating Systems Review
Towards green data centers: A comparison of x86 and ARM architectures power efficiency
Journal of Parallel and Distributed Computing
On understanding the energy consumption of ARM-based multicore servers
Proceedings of the ACM SIGMETRICS/international conference on Measurement and modeling of computer systems
Energy-efficient virtual machine scheduling in performance-asymmetric multi-core architectures
Proceedings of the 8th International Conference on Network and Service Management
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Single-ISA heterogeneous multicore architectures promise to deliver plenty of cores with varying complexity, speed and performance in the near future. Virtualization enables multiple operating systems to run concurrently as distinct, independent guest domains, thereby reducing core idle time and maximizing throughput. This paper seeks to identify a heuristic that can aid in intelligently scheduling these virtualized workloads to maximize performance while reducing power consumption. We propose that the controlling domain in a Virtual MachineMonitor or hypervisor is relatively insensitive to changes in core frequency, and thus scheduling it on a slower core saves power while only slightly affecting guest domain performance. We test and validate our hypothesis and further propose a metric, the Combined Usage of a domain, to assist in future energy-efficient scheduling. Our preliminary findings show that the Combined Usage metric can be used as a starting point to gauge the sensitivity of a guest domain to variations in the controlling domain's frequency.