Energy consumption in mobile computing

Ramirez, Ricardo; Hernández-Rubio, Erika; Viveros, Amilcar Meneses

doi:10.1109/conielecomp.2013.6525773

Cited by 2 publications

(3 citation statements)

References 8 publications

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“…However, the experimental results have not matched the models, ie, the analysis of the models show energy savings [9], [11], [12], while in some experiments shown that programs on multicore architectures spend more energy when working with multiple threads [8], [15]. We believe that this contradiction is due to the models do not consider the types of processors, concerning the use of energy.…”

Section: Introductionmentioning

confidence: 77%

“…One of the main contributions of this model, is the possibility of offering an explanation for the apparently contradictory results reported by several authors, because while some of them show energy savings using parallel programming in multicore processor [9], [11], [12], there is work which shows that energy consumption is punished by parallel techniques [8], [15].…”

Section: Discussionmentioning

confidence: 99%

“…Isidro, Meneses and Hernández [15] showed previously to this paper that an energy-study design depends of many more factors such as hardware components that participate in application execution. They also proved that is possible to model and predict energy usage for an application, knowing the quantity of parallel and sequential code portions that a program has.…”

Section: Related Workmentioning

confidence: 99%

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Energy consumption model over parallel programs implemented on multicore architectures

Isidro-Ramirez¹,

Viveros²,

Hernández-Rubio³

2015

ijacsa

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Abstract-In High Performance Computing, energy consumption is becoming an important aspect to consider. Due to the high costs that represent energy production in all countries it holds an important role and it seek to find ways to save energy. It is reflected in some efforts to reduce the energy requirements of hardware components and applications. Some options have been appearing in order to scale down energy use and, consequently, scale up energy efficiency. One of these strategies is the multithread programming paradigm, whose purpose is to produce parallel programs able to use the full amount of computing resources available in a microprocessor. That energy saving strategy focuses on efficient use of multicore processors that are found in various computing devices, like mobile devices. Actually, as a growing trend, multicore processors are found as part of various specific purpose computers since 2003, from High Performance Computing servers to mobile devices. However, it is not clear how multiprogramming affects energy efficiency. This paper presents an analysis of different types of multicorebased architectures used in computing, and then a valid model is presented. Based on Amdahl's Law, a model that considers different scenarios of energy use in multicore architectures it is proposed. Some interesting results were found from experiments with the developed algorithm, that it was execute of a parallel and sequential way. A lower limit of energy consumption was found in a type of multicore architecture and this behavior was observed experimentally.

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Section: Introductionmentioning

confidence: 77%

Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Energy consumption model over parallel programs implemented on multicore architectures

Isidro-Ramirez¹,

Viveros²,

Hernández-Rubio³

2015

ijacsa

View full text Add to dashboard Cite

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Differences of energetic consumption between Java and JNI Android apps

Ramirez

Hernández-Rubio

Viveros

et al. 2014

2014 International Symposium on Integrated Circuits (ISIC)

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One of the main constraints on mobile devices is the battery lifetime. In recent years the problem has been detected as an energy gap between mobile applications and battery of mobile devices. There have been several studies to detect which are the main causes of energy consumption while mobile applications are running. Furthermore, several strategies are designed to reduce energy consumption. Also some models have been proposed to describe the energy consumption. These models have focused on the execution of processes that have been used in offloading techniques and the analysis of multithreaded programs. In addition, every mobile operating system contains a set of guidelines or restrictions on development to prevent applications consume too much energy. However, it is not clear what the energy efficiency of native multithreading applications that run on virtual machines on native applications that run directly on low level. The present work shows a study of power consumption of multithreading Android applications running only Java applications against Android running computationally complex sections of code in intermediate language, such as C using JNI. These results help us to have application development strategies aimed at saving energy.

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Energy consumption in mobile computing

Cited by 2 publications

References 8 publications

Energy consumption model over parallel programs implemented on multicore architectures

Energy consumption model over parallel programs implemented on multicore architectures

Differences of energetic consumption between Java and JNI Android apps

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