JouleTrack: a web based tool for software energy profiling
Proceedings of the 38th annual Design Automation Conference
Numerical Recipes in C: The Art of Scientific Computing
Numerical Recipes in C: The Art of Scientific Computing
M/M/1 Queues with Switching Costs and Hysteretic Optimal Control
Operations Research
Dynamic Control of a Queue with Adjustable Service Rate
Operations Research
A scheduling model for reduced CPU energy
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
Models of Network Access Using Feedback Fluid Queues
Queueing Systems: Theory and Applications
Power-aware scheduling for makespan and flow
Proceedings of the eighteenth annual ACM symposium on Parallelism in algorithms and architectures
Speed Scaling of Tasks with Precedence Constraints
Theory of Computing Systems
Getting the best response for your erg
ACM Transactions on Algorithms (TALG)
Variation-Aware Application Scheduling and Power Management for Chip Multiprocessors
ISCA '08 Proceedings of the 35th Annual International Symposium on Computer Architecture
Computer Architecture Techniques for Power-Efficiency
Computer Architecture Techniques for Power-Efficiency
The cost of a cloud: research problems in data center networks
ACM SIGCOMM Computer Communication Review
Speed scaling with an arbitrary power function
SODA '09 Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms
Optimal power allocation in server farms
Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems
On the Interplay of Parallelization, Program Performance, and Energy Consumption
IEEE Transactions on Parallel and Distributed Systems
Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design
Dynamic voltage and frequency scaling: the laws of diminishing returns
HotPower'10 Proceedings of the 2010 international conference on Power aware computing and systems
Analyzing performance asymmetric multicore processors for latency sensitive datacenter applications
HotPower'10 Proceedings of the 2010 international conference on Power aware computing and systems
Energy-Efficient algorithms for flow time minimization
STACS'06 Proceedings of the 23rd Annual conference on Theoretical Aspects of Computer Science
Continuous feedback fluid queues
Operations Research Letters
Power-aware speed scaling in processor sharing systems: Optimality and robustness
Performance Evaluation
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In this paper we develop techniques for analyzing and optimizing energy management in multi-core servers with speed scaling capabilities. Our framework incorporates the processor's dynamic power, but it also accounts for other intricate and relevant power features such as the static (leakage) power and switching overhead between speed levels. Using stochastic fluid models to capture traffic burst dynamics, we propose and study different strategies for adapting the multi-core processor speeds based on the observable buffer content, so as to optimize objective functions that balance energy consumption and performance. The strategies can be non-hysteretic (i.e., the processor speed depends on current buffer level relative to the buffer thresholds) or hysteretic (i.e., it matters in which direction the buffer thresholds are crossed). It is shown that, under rather general conditions, strategies which use more threshold levels are more efficient with respect to power consumption; however, most of the efficiency gain is achieved with 1 or 2 thresholds only. In addition, the optimal power consumptions of the different strategies are only very mildly sensitive to perturbations in the input parameters, implying the highly advantageous property that the performance is robust to estimation errors in the system's input traffic parameters.