Priority Inheritance during Remote Procedure Calls in Real-Time Android using Extended Binder Framework

Kalkov, Igor; Gurghian, Alexandru; Kowalewski, Stefan

doi:10.1145/2822304.2822311

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…The major existing prior literature on adaptive real-time, power-aware scheduling for multimedia and soft real-time applications, which has been reviewed above, can be categorized as in [20] H No No S/L Sy No Yes Aydin et al [21] H No No S Sy No Yes Kim et al [23] H No No T Av No Yes Lorch et al [28] S No No S Of, Mu No Yes Pouwelse et al [29,30] S No No L Sy, Mu No Yes Kumar et al [31] S No No S Av, Sy No Yes Zhu et al [22] H Yes No Yes S/L Sy No Yes Almoosa et al [26] N Yes No Yes S Sy Yes Yes Yuan et al [33] S Yes No Yes L Mu No Yes Kalkov et al [42,43] S is introduced in this paper, any feedback-based methodology will not be able to react to workload changes and anticipate power adjustments as quickly and on-time, as in the mechanism proposed herein.…”

Section: Discussionmentioning

confidence: 99%

Energy-efficient low-latency audio on android

Balsini

Cucinotta

Abeni

et al. 2019

Journal of Systems and Software

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Counting more than two billion devices, Android is nowadays one of the most popular open-source general-purpose operating systems, based on Linux. Because of the diversity of applications that can be installed, it manages a number of dierent workloads, many of them requiring performance/QoS guarantees. When running audio processing applications, the user would like an uninterrupted, glitch-free, output stream that reacts to the user input, typically with a delay not bigger than 4 − 10 ms, while keeping the energy consumption of the mobile device as low as possible. This work focuses on improvements to the real-time audio processing performance on Android that preserves energy-eciency. Such improvements are achieved by using a deadline based scheduler and an adaptive scheduling strategy that dynamically and proactively modulates the allocated runtime. The proposed strategy is evaluated through an extensive experimentation, showing that 1) compared to the existing way to ensure low-latency audio processing, the proposed mechanism provides an energy saving of almost 40%, and 2) compared to the existing way to achieve a good balance between power consumption and latency in a glitch-free audio processing experience, the proposed solution reduces audio latency from 26.67 ms to 2.67 ms, at the expense of a limited

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Section: Discussionmentioning

confidence: 99%

Energy-efficient low-latency audio on android

Balsini

Cucinotta

Abeni

et al. 2019

Journal of Systems and Software

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“…Otro trabajo (Kalkov I. et al, 2012) (Kalkov I. et al, 2014) (Kalkov I. et al, 2015) ha realizado una adaptación de Android basándose en la solución propuesta en la Figura 2c. En este caso se modifica el kernel de Android/Linux con la aplicación del parche RT_PREEMPT y además se añaden modificaciones a otros componentes de Android como el recolector de basura en la máquina virtual de Java.…”

Section: Trabajos Relacionadosunclassified

Aplicaciones Ada en Android con requisitos de tiempo real

Ruiz

Rivas

Harbour

2019

Rev. iberoam. autom. inform. ind.

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<p class="icsmabstract">Android es el sistema operativo más extendido en el ámbito de los dispositivos móviles. Su gran expansión y desarrollo ha provocado que exista un gran interés para utilizarlo en entornos con requisitos temporales. Este trabajo presenta un mecanismo para utilizar el lenguaje de programación Ada en el desarrollo de aplicaciones de tiempo real sobre Android. Ada es un lenguaje que ofrece soporte para aplicaciones con requerimientos temporales bajo la suposición de que la plataforma de ejecución proporciona las garantías necesarias en tiempos de respuesta. Para satisfacer estas garantías proponemos que las aplicaciones escritas en este lenguaje utilicen los mecanismos de aislamiento proporcionados por el sistema operativo Android/Linux, a través de los cuales es posible aislar uno o varios núcleos del procesador para ser usados exclusivamente por aplicaciones de tiempo real. Además, hemos estudiado los mecanismos que se encuentran disponibles en Android para compartir datos entre aplicaciones Ada con requisitos temporales y el resto de aplicaciones que se ejecutan en el mismo sistema.</p>

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“…FairWind is a hardware/software ecosystem built around open technologies with the aim of involving boating and yachting enthusiasts in data crowdsourcing and provide them with a cool and DIY marine electronics instrument. From the hardware point of view, FairWind could be operational on any single‐board computer, tablet, or smartphone working with the Android operating system, such as, but not limited to, UDOO Quad and X86, Raspberry Pi with Realtime Android, and PineA64+.…”

Section: Use Case and Evaluationmentioning

confidence: 99%

Marine bathymetry processing through GPGPU virtualization in high performance cloud computing

Montella

Marcellino

Galletti

et al. 2018

Concurrency and Computation

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Fast technology development has influenced the widespread use of low-power devices in different scientific, environmental, and everyday life areas, giving birth to the Internet of Things.In this paper, we focus on the context of marine studies, addressing the problem of marine bathymetry data processing and analysis via pervasive and Internet-connected sensors and low-power distributed devices. Pervasive and Internet-connected low-power devices (as the components involved in the sensing and processing actions) made diverse and different "things" as a worldwide-distributed system. Given the high complexity of the algorithms involved in these studies, which usually involve general-purpose graphic processing unit (GPGPU) computation, it is impossible for the limited devices to perform the required calculations. To overcome these limitations, in this paper, we propose and implement a vertical application of GVirtuS, the open-source GPGPU virtualization and remoting service, for achieving high performance geographical data interpolation in a high performance cloud computing scenario. We present an innovative implementation by comparing, in terms of performance and accuracy, the inverse distance weighting and kriging interpolation methods in their parallel implementations leveraging on CUDA-enabled GPGPUs. We present a real-world use case related to high-resolution bathymetry interpolation in a crowdsource data context in the Bay of Pozzuoli, Italy.

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Priority Inheritance during Remote Procedure Calls in Real-Time Android using Extended Binder Framework

Cited by 4 publications

References 22 publications

Energy-efficient low-latency audio on android

Energy-efficient low-latency audio on android

Aplicaciones Ada en Android con requisitos de tiempo real

Marine bathymetry processing through GPGPU virtualization in high performance cloud computing

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