A review of mobile crowdsourcing architectures and challenges: Toward crowd-empowered internet-of-things
Crowdsourcing using mobile devices, known as mobile crowdsourcing, is a powerful
approach incorporating human wisdom into mobile computations to solve problems while …
approach incorporating human wisdom into mobile computations to solve problems while …
Green ai: Do deep learning frameworks have different costs?
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 …
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
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 web browsers to access the Internet than desktop browsers. Meanwhile, webpages …
Mobile device power models for energy efficient dynamic offloading at runtime
Spectacular advances in hardware and software technologies have resulted in powerful
mobile devices, equipped with advanced processing, storage and network capabilities …
mobile devices, equipped with advanced processing, storage and network capabilities …
An exploratory study on energy consumption of dataframe processing libraries
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 …
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
In the dynamic landscape of contemporary data-driven technologies, software systems
depend significantly on vast datasets and ongoing data center operations that utilize diverse …
depend significantly on vast datasets and ongoing data center operations that utilize diverse …
Weec: Web energy efficient computing: A machine learning approach
The growing popularity of web browsing on mobile devices running on a variety of
embedded processors places heavy demands on already energy constrained systems …
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 …
battery life due to high data rates, big displays, and diverse applications. In this study we …
[PDF][PDF] Energy consumption in mobile phones
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 …
numbers of customized applications are also introduced for these users according to their …
RJoules: An Energy Measurement Tool for R
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 …
increased significantly. R language, known for its statistical modeling and data analysis …