An efficient tinification of the linux kernel for minimizing resource consumption

Shizukuishi, Takuya; Matsubara, Katsuya

doi:10.1145/3341105.3373913

Cited by 2 publications

(3 citation statements)

References 7 publications

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“…It should be noted that this behaviour was also observed within the no operating system cases and thus we do not attribute the transitioning behaviour to operating system interrupt routines that need to be serviced. The work of Shizukuishi et al in [7] would seem to support this proposition. Their findings suggest that Linux build configuration options' deactivation had no significant impact on power consumption characteristics.…”

Section: Discussionmentioning

confidence: 90%

“…Some of these factors, including CPU core frequencies, GPU characteristics, and memory having been considered in [3][4][5][6]. Other factors have also been identified, such as operating system build configuration options and kernel tintification [7]; and factors associated with the servicing of network traffic across Ethernet and WiFi [8,9]. Furthermore, many studies have considered the early generations of Raspberry Pi models and their power consumption characteristics, in isolation or as the core components within homogeneous and heterogeneous clusters, for example, [5,10,11].…”

Section: Background and Related Workmentioning

confidence: 99%

“…It would be reasonable to assume that the extensive collection of software packages that come pre-built on modern operating system distributions would, for the most part, never be required and, in many cases, not be relevant to the task associated with the embedded system. The effect of the inclusion of software within an operating system build, not depended upon by the embedded application, has been considered by Shizukuishi and Matsubara in [7]. Their work focuses on the deactivation of Linux build configuration options and the subsequent impact on memory usage and power consumption.…”

Section: Related Workmentioning

confidence: 99%

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Power Consumption Profiling of a Lightweight Development Board: Sensing with the INA219 and Teensy 4.0 Microcontroller

2021

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At the heart of most technological advancements is a network of processors executing code and consuming energy. Understanding those systems’ energy consumption profiles provides optimisation possibilities and thus contributes to strategies for reducing energy consumption in general. This paper assesses the power consumption characteristics of a highly competitive low cost, small form factor development board (the Raspberry Pi4 model B), powered with the minimal load associated with its bare-metal configuration and the related impact on baseline power consumption. We also consider the load associated with an out-of-box operating system, running at several underclocking frequency scaling levels and the associated impact on baseline power consumption. Our experimental set-up consists of integrating an INA219 high-side current sense amplifier for the capturing of power, current, and voltage measurements; and a Teensy 4.0 microcontroller for sampling. Overall, our results indicate statistically significant differences in overall power consumption distribution characteristics across all models. Our results also indicate the presence of three distinct power phase envelopes and statistically significant differences in mean and median power measurements between the different underclocking frequency test cases and the bare-metal cases. Our results also indicate that power consumption is an increasing monotonic function across test scenarios. Finally, our results have also shown that isolating power consumption composite distributions increases model predictability from 67% to 97%.

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Section: Discussionmentioning

confidence: 90%