Policy optimization for dynamic power management

Dynamic power management schemes (also called policies) can be used to control the power consumption levels of electronic systems, by setting their components in different states, each characterized by a performance level and a power consumption. In this paper, we describe power-managed systems usin...

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Vydáno v:DAC 98: DAC: 35th Annual ACM/IEEE Design Automation Conference s. 182 - 187
Hlavní autoři: Paleologo, G. A., Benini, L., Bogliolo, A., De Micheli, G.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: New York, NY, USA ACM 01.05.1998
IEEE
Edice:ACM Conferences
Témata:
Applied computing > Physical sciences and engineering > Electronics
Applied computing > Physical sciences and engineering > Engineering
Computing methodologies > Modeling and simulation
Constraint optimization
Consumer electronics
Design automation
Energy consumption
Energy management
Home appliances
Mathematics of computing > Probability and statistics > Stochastic processes
Permission
Portable computers
Power system management
Power system modeling
functional simulation
reconstruction
visibility
emulation
ISBN:0897919645, 9780897919647
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Popis
Shrnutí:Dynamic power management schemes (also called policies) can be used to control the power consumption levels of electronic systems, by setting their components in different states, each characterized by a performance level and a power consumption. In this paper, we describe power-managed systems using a finite-state, stochastic model. Furthermore, we show that the fundamental problem of finding an optimal policy which maximizes the average performance level of a system, subject to a constraint on the power consumption, can be formulated as a stochastic optimization problem called policy optimization. Policy optimization can be solved exactly in polynomial time (in the number of states of the model). We implemented a policy optimization tool and tested the quality of the optimal policies on a realistic case study.
Bibliografie:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
content type line 25
ISBN:0897919645
9780897919647
DOI:10.1145/277044.277094