Event-driven power management of portable systems

Simunic, T.; Beniani, L.; Micheli, Giovanni De

doi:10.1109/isss.1999.814255

Cited by 49 publications

(42 citation statements)

References 12 publications

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“…In the work by Paleologo et al [39], the general Markov model is specialized by assuming finite state set, finite command set, and discrete (or slotted) time. Continuous-time Markov models have been studied as well [37], [38], [40]. Example 3.6: A simple Markov model for a power-managed system [39] is shown in Fig.…”

Section: Stochastic Controlmentioning

confidence: 99%

A survey of design techniques for system-level dynamic power management

Benini

Bogliolo

Micheli

2000

IEEE Trans. VLSI Syst.

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1,007

579

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Abstract-Dynamic power management (DPM) is a design methodology for dynamically reconfiguring systems to provide the requested services and performance levels with a minimum number of active components or a minimum load on such components. DPM encompasses a set of techniques that achieves energy-efficient computation by selectively turning off (or reducing the performance of) system components when they are idle (or partially unexploited).In this paper, we survey several approaches to system-level dynamic power management. We first describe how systems employ power-manageable components and how the use of dynamic reconfiguration can impact the overall power consumption. We then analyze DPM implementation issues in electronic systems, and we survey recent initiatives in standardizing the hardware/software interface to enable software-controlled power management of hardware components.

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Section: Stochastic Controlmentioning

confidence: 99%

A survey of design techniques for system-level dynamic power management

Benini

Bogliolo

Micheli

2000

IEEE Trans. VLSI Syst.

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1,007

579

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“…The stochastic models which have been used in the literature are discrete-time Markov chains [PBBM98,BBPM99], continuous-time Markov chains [QP99, QWP00, QWP01] and their variants [SBM99]. The approaches vary in the modelling of time: in the continuous-time case, mode switching commands can be issued at any time, and events can happen at any time.…”

Section: Stochastic Approaches To Dpmmentioning

confidence: 99%

“…Examples of such devices may be found in [BBM00,SBM99]. In order to provide DPM strategies for multi-state systems, the stochastic optimum control approach has been proposed in the literature [BBM00, SBM99, BBPM99, CBBM99, QP99, QWP01].…”

Section: Introductionmentioning

confidence: 99%

Using probabilistic model checking for dynamic power management

et al. 2005

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Abstract. Dynamic power management (DPM) refers to the use of runtime strategies in order to achieve a tradeoff between the performance and power consumption of a system and its components. We present an approach to analysing stochastic DPM strategies using probabilistic model checking as the formal framework. This is a novel application of probabilistic model checking to the area of system design. This approach allows us to obtain performance measures of strategies by automated analytical means without expensive simulations. Moreover, one can formally establish various probabilistically quantified properties pertaining to buffer sizes, delays, energy usage etc., for each derived strategy.

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“…We compare TBPM with four device-level power management policies (1) exponential regression relationship between two adjacent idle periods [8] (2) event-driven semi-Markov model [17] (3) 2-competitive policy which sets the timeout value (τ ) to T be [9] (4) timeout with one and two minutes (τ = 60, 120). One minute is the minimum unit in many user-controlled power management settings, such the Control Panel in Microsoft Windows.…”

Section: Resultsmentioning

confidence: 99%

“…They waste power in the first 60 (or 120) seconds of an idle period. The other policies (TBPM, [9] and [17]) consume less power. Among them, TBPM has smaller numbers of shutdowns because TBPM can find long idle periods more accurately.…”

Section: Resultsmentioning

confidence: 99%

Operating-system directed power reduction

Lü

Benini

Micheli

ISLPED'00: Proceedings of the 2000 International Symposium on Low Power Electronics and Design (Cat. No.00TH8514)

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This paper presents a new approach for power reduction by taking a global, software-centric view. It analyzes the sources of power consumption: tasks that require services from hardware components. When a component is not used by any task, it can enter a sleeping state to save power. Operating systems have detailed information about tasks; therefore, OS is the best place for power reduction. Our technique is effective in identifying hardware idleness and shutting down unused components. We implement this technique in Linux and show that it can save more than 50% power compared to traditional hardware-centric shutdown techniques.

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Event-driven power management of portable systems

Abstract: Abstract

Cited by 49 publications

References 12 publications

A survey of design techniques for system-level dynamic power management

A survey of design techniques for system-level dynamic power management

Using probabilistic model checking for dynamic power management

Operating-system directed power reduction

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