Energy Characterization of Embedded Real-Time Operating Systems

Acquaviva, Andrea; Benini, Luca; Riccò, B.

doi:10.1007/978-1-4419-9292-5_4

Cited by 26 publications

(25 citation statements)

References 16 publications

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“…They propose a model of power consumption based on the correlation that they found between the power and the Instruction per cycle (IPC) metric. Acquaviva et al proposed in [4] a new methodology to characterize the OS energy overhead. They measured the energy consumption of the eCos Real Time Operating System running on a prototype wearable computer, HP's SmartBadgeIII.…”

Section: Related Workmentioning

confidence: 99%

Embedded operating systems energy overhead

Ouni

Belleudy

Bilavarn

et al. 2011

Proceedings of the 2011 Conference on Design &Amp; Architectures for Signal &Amp; Image Processing (DASIP)

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In this paper, a flow of characterization of embedded operating system's energy consumption is presented. The objective is to determine the energy overhead of the services of the embedded OS, we interest particularly on the context switch service. The modeling is based on measurements on the hardware platform OMAP35x EVM board, running Linux omap. Based on the analysis results, a relationship between energy overhead and a set of hardware and software parameters is established.

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Section: Related Workmentioning

confidence: 99%

Embedded operating systems energy overhead

Ouni

Belleudy

Bilavarn

et al. 2011

Proceedings of the 2011 Conference on Design &Amp; Architectures for Signal &Amp; Image Processing (DASIP)

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“…The derived power macro model was implemented on RTL level and its accuracy was compared to gate-level simulation using undeclared benchmark applications. A different approach has been taken in [7]. The authors characterized the power consumption behavior of a specific target, the RTOS realtime operating system, and measured the real consumption of the system.…”

Section: B Power and Fault Injection Modelingmentioning

confidence: 99%

Hardware-Accelerated Workload Characterization for Power Modeling and Fault Injection

Krieg

Grinschgl

Steger

et al. 2012

2012 IEEE 21st Asian Test Symposium

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During recent years the increasing introduction of system functionality into integrated devices resulted into several new problems for chip designers. First, high system-on-chip complexity combined with increased clock frequencies leads to power budget and thermal issues. Second, small semiconductor process structures are more sensitive to faults resulting from logic degradation and external radiation sources. Early testing and evaluation of hardware and software implementations have been enabled in the last years using hardware-accelerated emulation techniques. Such implementations rely on functional models of the target system, generated using specialized benchmark suites. These have been designed to accurately resemble typical application scenarios of the target implementation. Unfortunately, power and fault injection emulation accuracy is depending on a good coverage of the system's logic, which is not guaranteed by typical benchmarks. Therefore, this paper proposes an exhaustive hardware accelerated methodology for the evaluation of such applications and generation of accurate emulation models. The behavior of standard benchmarks are investigated using an open available system-on-chip platform based case study.

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“…Acquaviva et al [3] proposed a new methodology to characterize the OS energy overhead. They measured the energy consumption of the eCos real time OS (RTOS) running on a prototype wearable computer, HP's SmartBadgeIII.…”

Section: Related Workmentioning

confidence: 99%

Accurate energy characterization of OS services in embedded systems

Ouni

Belleudy

Senn³

2012

J Embedded Systems

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As technology scales for increased circuit density and performance, the management of power consumption in embedded systems is becoming critical. Because the operating system (OS) is a basic component of the embedded system, the reduction and characterization of its energy consumption is a main challenge for the designers. In this work, a flow of low power OS energy characterization is introduced. The variation of the energy and power consumption of the embedded OS services is studied. The remainder of this article details the methods used to determine energy and power overheads of a set of basic services of the embedded OS: scheduling, context switch and inter-process communication. The impacts of hardware and software parameters like processor frequency and scheduling policy on the energy consumption are analyzed. Also, models and laws of the power and energy are extracted. Then, to quantify the low power OS energetic overhead, the obtained models are integrated in the system level design. Our method allows estimating the energy consumption of the low power OS services when running an application on a specific hardware platform.

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Energy Characterization of Embedded Real-Time Operating Systems

Abstract: In

Cited by 26 publications

References 16 publications

Embedded operating systems energy overhead

Embedded operating systems energy overhead

Hardware-Accelerated Workload Characterization for Power Modeling and Fault Injection

Accurate energy characterization of OS services in embedded systems

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