Internet of Things (IoT), mobile cloud, cloudlet, mobile IoT, IoT cloud, fog, mobile edge, and edge emerging computing paradigms: Disambiguation and research …
H Elazhary - Journal of network and computer applications, 2019 - Elsevier
Currently, we are experiencing a technological shift, which is expected to change the way
we program and interact with the world. Cloud computing and mobile computing are two …
we program and interact with the world. Cloud computing and mobile computing are two …
Energy-saving strategies for mobile web apps and their measurement: Results from a decade of research
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 …
energy consumption of mobile web apps, we can not only extend the battery life of our …
Quality-aware traffic offloading in wireless networks
In cellular networks, due to practical deployment issues, some areas have good wireless
coverage while others may not. This results in significant throughput (service quality) …
coverage while others may not. This results in significant throughput (service quality) …
[HTML][HTML] Environmental impact assessment of online advertising
There are no commonly agreed ways to assess the total energy consumption of the Internet.
Estimating the Internet's energy footprint is challenging because of the interconnectedness …
Estimating the Internet's energy footprint is challenging because of the interconnectedness …
Optimise web browsing on heterogeneous mobile platforms: a machine learning based approach
Web browsing is an activity that billions of mobile users perform on a daily basis. Battery life
is a primary concern to many mobile users who often find their phone has died at most …
is a primary concern to many mobile users who often find their phone has died at most …
[BUKU][B] Parallel, self-organizing hierarchical neural networks
D Hong - 1990 - search.proquest.com
This thesis presents a new neural network architecture called the parallel self-organizing
hierarchical neural network (PSHNN). The new architecture involves a number of stages in …
hierarchical neural network (PSHNN). The new architecture involves a number of stages in …
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 …
Proteus: Network-aware web browsing on heterogeneous mobile systems
We present Proteus, a novel network-aware approach for optimizing web browsing on
heterogeneous multi-core mobile systems. It employs machine learning techniques to …
heterogeneous multi-core mobile systems. It employs machine learning techniques to …
Smartphones power consumption & energy saving techniques
N Zaman, FA Almusalli - 2017 international conference on …, 2017 - ieeexplore.ieee.org
The rapid development of the smartphones penetrated in every aspect of daily life starting
from the health care, education, economics, social life etc. The prominence of the …
from the health care, education, economics, social life etc. The prominence of the …
Camel: Smart, adaptive energy optimization for mobile web interactions
Web technology underpins many interactive mobile applications. However, energy-efficient
mobile web interactions is an outstanding challenge. Given the increasing diversity and …
mobile web interactions is an outstanding challenge. Given the increasing diversity and …