Journal: IET Circuits, Devices & Systems

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Publisher

Institution of Engineering and Technology

Journal Volumes

ISSN

1751-858X
1751-8598

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2012 - 20142
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Publications1 - 2 of 2
  • Sleep power minimisation using adaptive duty-cycling of DC–DC converters in state-retentive systems
    Item type: Journal Article
    Balsamo, Domenico; Brunelli, Davide; Paci, Giacomo; et al. (2014)
    IET Circuits, Devices & Systems
    Aggressive power management techniques, which combine hardware and software solutions, are fundamental for embedded computing platforms today, especially if they are battery operated. This paper proposes an adaptive low‐level algorithm, which modulates the DC–DC converter activation for minimising quiescent current consumption. This algorithm allows a discontinuous usage of the DC–DC converter during the sleep time, without requiring modification in the user's main program, by powering the system solely with the internal DC–DC converter capacitor and without using any other additional capacitors as an energy buffer. The algorithm computes the maximum interval between consecutive wake‐ups necessary for the capacitor recharging at run‐time. Intervals are decided by taking into account both the global leakage and the temperature‐dependent variations of the capacitor. The proposed solution significantly enhances the lifetime of applications with a low activity rate, such as wireless sensor networks, while still guaranteeing efficient power delivery for high‐current demand intervals.
  • Worst-Case Temperature Analysis for Different Resource Models
    Item type: Journal Article
    Schor, Lars; Yang, Hoeseok; Bacivarov, Iuliana; et al. (2012)
    IET Circuits, Devices & Systems
    The rapid increase in heat dissipation in real-time systems imposes various thermal issues. For instance, real-time constraints cannot be guaranteed if a certain threshold temperature is exceeded, as it would immediately reduce the system reliability and performance. Dynamic thermal management techniques are promising methods to prevent a system from overheating. However, when designing real-time systems that make use of such thermal management techniques, the designer has to be aware of their effect on both real-time constraints and worst-case peak temperature. In particular, the worst-case peak temperature of a real-time system with non-deterministic workload is the maximum possible temperature under all feasible scenarios of task arrivals. This study proposes an analytic framework to calculate the worst-case peak temperature of a system with general resource availabilities, which means that computing power might not be fully available for certain time intervals. The event and resource models are based on real-time and network calculus, and therefore, our analysis method is able to handle a broad range of uncertainties in terms of task arrivals and available computing power. Finally, we propose an indicator for the quality of the resource model with respect to worst-case peak temperature and schedulability. © 2012 The Institution of Engineering and Technology.
Publications1 - 2 of 2