Process cruise control: event-driven clock scaling for dynamic power management
CASES '02 Proceedings of the 2002 international conference on Compilers, architecture, and synthesis for embedded systems
The design, implementation, and evaluation of a compiler algorithm for CPU energy reduction
PLDI '03 Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
Single-ISA Heterogeneous Multi-Core Architectures for Multithreaded Workload Performance
Proceedings of the 31st annual international symposium on Computer architecture
Efficient operating system scheduling for performance-asymmetric multi-core architectures
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
Analysis of dynamic power management on multi-core processors
Proceedings of the 22nd annual international conference on Supercomputing
PowerNap: eliminating server idle power
Proceedings of the 14th international conference on Architectural support for programming languages and operating systems
Comparison of scheduling schemes for on-demand IaaS requests
Journal of Systems and Software
Analyzing resource interdependencies in multi-core architectures to improve scheduling decisions
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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Energy-efficient computing as a research area has been receiving increasing attention in recent years due to rising energy costs and environmental awareness. In this paper, we present an approach to increasing the energy efficiency of modern multi-core computers, which is suitable for scenarios with varying load characteristics often found in private and small office/home office (SOHO) machines. The approach is based on a closer integration of the operating system scheduler and frequency governor, while shifting the mode of operation from time-driven to event-driven. We discuss theoretical as well as practical considerations, and describe experiments for both desktop and server systems. Based on a fully functional implementation within the Linux kernel, it is shown that our approach is feasible and allows for power savings of up to 10% while delivering a performance comparable to disabled power management and being more energy-efficient than the traditional time-driven variant.