A review of mobile crowdsourcing architectures and challenges: Toward crowd-empowered internet-of-things

J Phuttharak, SW Loke - Ieee access, 2018 - ieeexplore.ieee.org
Crowdsourcing using mobile devices, known as mobile crowdsourcing, is a powerful
approach incorporating human wisdom into mobile computations to solve problems while …

Green ai: Do deep learning frameworks have different costs?

S Georgiou, M Kechagia, T Sharma, F Sarro… - Proceedings of the 44th …, 2022 - dl.acm.org
The use of Artificial Intelligence (ai), and more specifically of Deep Learning (dl), in modern
software systems, is nowadays widespread and continues to grow. At the same time, its …

High-performance and energy-efficient mobile web browsing on big/little systems

Y Zhu, VJ Reddi - 2013 IEEE 19th International Symposium on …, 2013 - ieeexplore.ieee.org
Internet web browsing has reached a critical tip** point. Increasingly, users rely more on
mobile web browsers to access the Internet than desktop browsers. Meanwhile, webpages …

Mobile device power models for energy efficient dynamic offloading at runtime

FA Ali, P Simoens, T Verbelen, P Demeester… - Journal of Systems and …, 2016 - Elsevier
Spectacular advances in hardware and software technologies have resulted in powerful
mobile devices, equipped with advanced processing, storage and network capabilities …

An exploratory study on energy consumption of dataframe processing libraries

S Shanbhag, S Chimalakonda - 2023 IEEE/ACM 20th …, 2023 - ieeexplore.ieee.org
The energy consumption of machine learning applications and their impact on the
environment has recently gained attention as a research area, focusing on the model …

Towards Comprehending Energy Consumption of Database Management Systems-A Tool and Empirical Study

HS Lella, R Chattaraj, S Chimalakonda… - Proceedings of the 28th …, 2024 - dl.acm.org
In the dynamic landscape of contemporary data-driven technologies, software systems
depend significantly on vast datasets and ongoing data center operations that utilize diverse …

Weec: Web energy efficient computing: A machine learning approach

A Uzair, MO Beg, H Mujtaba, H Majeed - … Computing: Informatics and …, 2019 - Elsevier
The growing popularity of web browsing on mobile devices running on a variety of
embedded processors places heavy demands on already energy constrained systems …

[BOOK][B] Studies on mobile terminal energy consumption for LTE and future 5G

M Lauridsen - 2015 - vbn.aau.dk
Smartphones have become an essential device for many, but they are limited by short
battery life due to high data rates, big displays, and diverse applications. In this study we …

[PDF][PDF] Energy consumption in mobile phones

A Javed, MA Shahid, M Sharif… - Int. J. Comput. Netw. Inf …, 2017 - academia.edu
As the mobile devices are widely used in this world. With the increasing number of users, the
numbers of customized applications are also introduced for these users according to their …

RJoules: An Energy Measurement Tool for R

R Chattaraj, S Chimalakonda - 2023 38th IEEE/ACM …, 2023 - ieeexplore.ieee.org
With the exponential growth of data, the demand for effective data analysis tools has
increased significantly. R language, known for its statistical modeling and data analysis …