Mobile phone batteries draining: Is green web browsing the solution?

D’Ambrosio, Salvatore; Pasquale, S. De; Iannone, G.; Malandrino, Delfina; Negro, Alberto; Patimo, Giovanni; Petta, Andrea; Scarano, Vittorio; Serra, Luigi; Spinelli, R.

doi:10.1109/igcc.2014.7039152

Cited by 9 publications

(9 citation statements)

References 24 publications

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“…Moreover, another future direction will include benchmarking tests in order to analyze the overall performance of the system, in terms of reliability, responsiveness, and also, in terms of battery consumptions of mobile devices [41].…”

Section: Resultsmentioning

confidence: 99%

A Tailorable Infrastructure to Enhance Mobile Seamless Learning

Malandrino

Manno

Palmieri

et al. 2015

IEEE Trans. Learning Technol.

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The widespread use of mobile devices is leading towards their adoption in the learning process, even if some pedagogical challenges are still not fully addressed when integrating mobile-assisted activities into regular curricula activities. In this paper, we first define some guidelines to design a general, tailorable, and platform-independent mobile learning system. Second, we present the aCME system, a mobile infrastructure, developed by adhering to the defined guidelines, to provide a general-purpose system, easy to start up with and friendly to user, and finally, tailorable, i.e., that can be easily adapted to the needs of different learning environments. The aCME system has been implemented as a Web-based architecture, to provide content and functionalities for different contexts, accessible from any location and by using any communication device. Finally, we describe a tool, deployed into aCME, that allows responding to quiz-based questionnaires during learning activities. A preliminary evaluation was performed to analyze usability and user satisfaction when interacting with the system we developed. The paper is concluded with some comments and future research directions.

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Section: Resultsmentioning

confidence: 99%

A Tailorable Infrastructure to Enhance Mobile Seamless Learning

Malandrino

Manno

Palmieri

et al. 2015

IEEE Trans. Learning Technol.

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“…Its smartphonelike design has made it a useful tool in various energy measurement studies [14], [26], [53], [54], [56], [58]. In addition to the previously mentioned approaches, solutions from the brands National Instruments [14], [54], [56], Agilent [37], [38], [41], [53], [69] and Keithley [37], [41] were also used for data acquisition. One of the drawbacks of hardware-based tools could be their potential price.…”

Section: General Findingsmentioning

confidence: 99%

“…[3], [16], [26], [27], [30], [31], [31]- [34], [39], [43], [46], [47], [49], [50], [59] Hardware-based 24 [14], [15], [28], [29], [35], [37], [38], [40], [41], [44], [45], [51]- [56], [58], [60], [62]- [65], [67] Estimation-based 4 [36], [42], [48], [61] supplier profiles) on the device and can be accessed via the Android Debug Bridge, for further analysis, even on a single hardware unit [30], [32], [33]. An alternative for devices with Qualcomm chips was Trepn Profiler [31], [32], [49], [50].…”

Section: Approach Count Referencesmentioning

confidence: 99%

Energy-Saving Strategies for Mobile Web Apps and their Measurement: Results from a Decade of Research

Benedikt

Felderer

2023

2023 IEEE/ACM 10th International Conference on Mobile Software Engineering and Systems (MOBILESoft)

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In 2022, over half of the web traffic was accessed through mobile devices. By reducing the energy consumption of mobile web apps, we can not only extend the battery life of our devices, but also make a significant contribution to energy conservation efforts. For example, if we could save only 5% of the energy used by web apps, we estimate that it would be enough to shut down one of the nuclear reactors in Fukushima. This paper presents a comprehensive overview of energy-saving experiments and related approaches for mobile web apps, relevant for researchers and practitioners. To achieve this objective, we conducted a systematic literature review and identified 44 primary studies for inclusion. Through the mapping and analysis of scientific papers, this work contributes: (1) an overview of the energy-draining aspects of mobile web apps, (2) a comprehensive description of the methodology used for the energy-saving experiments, and (3) a categorization and synthesis of various energy-saving approaches.

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“…This has resulted in two goals. Firstly, to improve the energy efficiency of mobile devices as means of achieving the goal of green computing and enable energy savings [10]. Secondly, to reduce the consumption of energy required by smartphone devices through not only (as in the past) focus on optimising software and run time, but also through improving the battery's run time through development of battery saving software applications [11].…”

Section: Green Computing As a Basic Approachmentioning

confidence: 99%

The evolution of energy requirements of smartphones based on user behaviour and implications of the COVID-19 era

Almasri

Gouveia

2021

IJECE

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Smartphones have evolved to become frequent companions to humans. The common problem shared by Android users of smartphones was, and continues to be, about saving their batteries and preventing the need to use any recharging tools. A significant number of studies have been performed in the general field of "saving energy in smartphones". During a state of global lockdown, the use of smartphone devices has skyrocketed, and many governments have implemented location-tracking applications for their citizens as means of ensuring that the imposed governmental restrictions are being adhered to. Since smartphones are battery-powered, the opportunity to conserve electricity and ensure that the handset does not have to be charged so much or that it does not die and impede location-tracking during this period of crisis is of vital significance, impacting not only the reliability of tracking, but also the usability of the mobile itself. While there are methods to reduce the battery’s drain from mobile app use, they are not fully utilized by users. Simultaneously, the following the manuscript demonstrates the growing prevalence of mobile applications in daily lives, as well as the disproportionally increasing phone functionality, which results in the creation of a dependency towards smartphone use and the need of energy to recharge and operate theses smartphones.

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Mobile phone batteries draining: Is green web browsing the solution?

Cited by 9 publications

References 24 publications

A Tailorable Infrastructure to Enhance Mobile Seamless Learning

A Tailorable Infrastructure to Enhance Mobile Seamless Learning

Energy-Saving Strategies for Mobile Web Apps and their Measurement: Results from a Decade of Research

The evolution of energy requirements of smartphones based on user behaviour and implications of the COVID-19 era

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